MATLAB VIDEO AND IMAGE PROCESSING BLOCKSET 3 User`s guide

MATLAB VIDEO AND IMAGE PROCESSING BLOCKSET 3 User`s guide
Video and Image Processing
Blockset™ Release Notes
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Video and Image Processing Blockset™ Release Notes
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Contents
Summary by Version . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1
Version 2.8 (R2009b) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4
Version 2.7 (R2009a) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
7
Version 2.6 (R2008b) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
10
Version 2.5 (R2008a) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
14
Version 2.4 (R2007b) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
19
Version 2.3 (R2007a) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
26
Version 2.2 (R2006b) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
32
Version 2.1 (R2006a) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
36
Version 2.0 (R14SP3+) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
38
Version 1.2 (R14SP3) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
41
Version 1.1 (R14SP2) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
44
iii
iv
Contents
Version 1.0.1 (R14SP1) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
47
Version 1.0 (R14) Video and Image Processing
Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
48
Compatibility Summary for Video and Image
Processing Blockset . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
52
Video and Image Processing Blockset™ Release Notes
Summary by Version
This table provides quick access to what’s new in each version. For
clarification, see “Using Release Notes” on page 2.
Version
(Release)
New Features
and Changes
Version
Compatibility
Considerations
Fixed Bugs
and Known
Problems
Related
Documentation
at Web Site
Latest Version
V2.8 (R2009b)
Yes
Details
No
Bug Reports
Includes fixes
Printable
Release Notes:
PDF
Current product
documentation
V2.7 (R2009a)
Yes
Details
No
Bug Reports
Includes fixes
No
V2.6 (R2008b)
Yes
Details
Yes
Summary
Bug Reports
Includes fixes
No
V2.5 (R2008a)
Yes
Details
Yes
Summary
Bug Reports
Includes fixes
No
V2.4 (R2007b)
Yes
Details
Yes
Summary
Bug Reports
Includes fixes
No
V2.3 (R2007a)
Yes
Details
Yes
Summary
Bug Reports
Includes fixes
No
V2.2 (R2006b)
Yes
Details
Yes
Summary
Bug Reports
Includes fixes
No
V2.1 (R2006a)
Yes
Details
Yes
Summary
Bug Reports
at Web site
No
V2.0 (R14SP3+)
Yes
Details
No
Bug Reports
at Web site
No
1
Video and Image Processing Blockset™ Release Notes
Version
(Release)
New Features
and Changes
Version
Compatibility
Considerations
Fixed Bugs
and Known
Problems
Related
Documentation
at Web Site
V1.2 (R14SP3)
Yes
Details
Yes
Summary
Bug Reports
at Web site
No
V1.1 (R14SP2)
Yes
Details
Yes
Summary
Bug Reports
at Web site
No
V1.0.1 (R14SP1)
Yes
Details
No
Fixed bugs
No
V1.0 (R14)
Yes
Details
No
No bug fixes
No
Using Release Notes
Use release notes when upgrading to a newer version to learn about:
• New features
• Changes
• Potential impact on your existing files and practices
Review the release notes for other MathWorks™ products required for this
product (for example, MATLAB® or Simulink®). Determine if enhancements,
bugs, or compatibility considerations in other products impact you.
If you are upgrading from a software version other than the most recent one,
review the current release notes and all interim versions. For example, when
you upgrade from V1.0 to V1.2, review the release notes for V1.1 and V1.2.
What Is in the Release Notes
New Features and Changes
• New functionality
• Changes to existing functionality
2
Summary by Version
Version Compatibility Considerations
When a new feature or change introduces a reported incompatibility between
versions, the Compatibility Considerations subsection explains the
impact.
Compatibility issues reported after the product release appear under Bug
Reports at The MathWorks™ Web site. Bug fixes can sometimes result
in incompatibilities, so review the fixed bugs in Bug Reports for any
compatibility impact.
Fixed Bugs and Known Problems
The MathWorks offers a user-searchable Bug Reports database so you can
view Bug Reports. The development team updates this database at release
time and as more information becomes available. Bug Reports include
provisions for any known workarounds or file replacements. Information is
available for bugs existing in or fixed in Release 14SP2 or later. Information
is not available for all bugs in earlier releases.
Access Bug Reports using your MathWorks Account.
3
Video and Image Processing Blockset™ Release Notes
Version 2.8 (R2009b) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.8 (R2009b):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
No
Bug Reports
Includes fixes
Printable Release
Notes: PDF
Current product
documentation
• “New Template Matching Block with Support for Several Match Metrics
and Region of Interest Processing” on page 4
• “Variable Size Data Support” on page 5
• “Expanded From Multimedia File Block to Support Additional Video
Codecs” on page 5
• “Enhanced Demos” on page 5
New Template Matching Block with Support for
Several Match Metrics and Region of Interest
Processing
Template matching is a common operation used to locate a template in
an image. The new Template Matching block improves upon the existing
SAD (Sum of Absolute Differences) block by incorporating additional match
metrics. This new block supports Sum of Absolute Differences (SAD), Sum of
Squared Differences (SSD), and Maximum Absolute Difference algorithms.
It also supports Region of Interest processing (ROI). This block replaces the
SAD block, which will be obsolete in a future release.
4
Version 2.8 (R2009b) Video and Image Processing Blockset™
Variable Size Data Support
Several Video and Image Processing Blockset™ blocks now support changes
in signal size during simulation. The following blocks support variable size
data as of this release:
• Draw Shapes
• Draw Markers
• Blob Analysis
• Find Local Maxima
• Corner Detection
• Hough Lines
Expanded From Multimedia File Block to Support
Additional Video Codecs
This release introduces an expanded From Multimedia File block to work with
a wider variety of codecs. The block now has more capability to work with the
codecs that output YCbCr color data only. These codecs exist in MPEG-2
encoded files, and several other video file types.
Enhanced Demos
The Video Stabilization and Panorama Creation demos now take advantage of
the new Template Matching block.
Enhanced demos updated to take advantage of the new variable size signal
capabilities:
• Tracking Cars Using Background Estimation
• Tracking Cars Using Optical Flow
• Cell Counting
• Object Counting
• Pattern Matching
• Color Segmentation
5
Video and Image Processing Blockset™ Release Notes
6
Version 2.7 (R2009a) Video and Image Processing Blockset™
Version 2.7 (R2009a) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.7 (R2009a):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
No
Bug Reports
Includes fixes
Printable Release
Notes: PDF
Current product
documentation
New features and changes introduced in this version are:
• “Enhanced Draw Shapes and Draw Markers blocks” on page 7
• “Enhanced To Video Display Block” on page 7
• “Enhanced Video Viewer Block” on page 8
• “Improved Memory use in 2–D FIR Filter, 2–D Convolution, and 2–D
Correlation Blocks” on page 8
• “Run-Time Library Removal” on page 8
• “New Rounding Modes” on page 8
Enhanced Draw Shapes and Draw Markers blocks
The Draw Shapes and Draw Markers blocks have the added feature to accept
border and fill color values at the input port. A new anti-aliasing algorithm
produces smoother edges. The block algorithms are enhanced to improve
performance.
Enhanced To Video Display Block
The To Video Display block is modified to remain open after simulation stops.
By default, the block does not use hardware acceleration thus reducing
memory requirements, improving behavior on multi-headed displays and
7
Video and Image Processing Blockset™ Release Notes
external projectors. In addition, there is a new option to turn on hardware
acceleration for improved performance.
Enhanced Video Viewer Block
The Video Viewer block has a new interface providing pixel region display
and visualization controls.
Improved Memory use in 2–D FIR Filter, 2–D
Convolution, and 2–D Correlation Blocks
The new algorithm used by 2-D FIR Filter, 2-D Convolution, and 2-D
Correlation blocks reduces memory requirements by eliminating the need for
the intermediate pad buffer.
Run-Time Library Removal
The Real-Time Workshop® software pack-and-go utility enables code
portability. In previous releases, the Video and Image Processing Blockset
software pack-and-go .zip file included more files than necessary due to a
dependence on a run-time library that shipped with the product. In addition,
you could not examine the contents of Video and Image Processing Blockset
run-time functions from the Real-Time Workshop HTML report, because the
code was accessed through the prebuilt library. In R2009a, this dependence
on the run-time library for code generation is removed. The pack-and-go .zip
file is now smaller than in previous releases, and the Real-Time Workshop
HTML report provides links to the source code of the run-time functions.
New Rounding Modes
The following rounding modes have been added to blocks that support
fixed-point signals:
• Convergent — Rounds the result of a calculation to the closest
representable number. In the case of a tie, Convergent rounds to the
nearest even number. This is the least biased rounding method provided
by the blockset.
• Round— Rounds the result of a calculation to the closest representable
number. In the case of a tie, it rounds positive numbers to the closest
8
Version 2.7 (R2009a) Video and Image Processing Blockset™
representable number in the direction of positive infinity, and it rounds
negative numbers to the closest representable number in the direction
of negative infinity.
• Simplest— Rounds the result of a calculation using the rounding mode
that adds the least amount of extra rounding code to your generated code.
For more information, see “Rounding Mode: Simplest” in the Simulink®
Fixed Point™ documentation.
9
Video and Image Processing Blockset™ Release Notes
Version 2.6 (R2008b) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.6 (R2008b):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
Yes
Summary
Bug Reports
Includes fixes
Printable Release
Notes: PDF
Current product
documentation
New features and changes introduced in this version are:
• “New Apply Geometric Transformation block” on page 10
• “C code generation and the Accelerator modes are now supported for
fixed-point and integer word lengths up to 128 bits” on page 11
• “ROI support for Minimum and Maximum blocks” on page 11
• “New and Enhanced Demos” on page 11
• “New Data Type Support Table” on page 12
• “2D-FFT Block Correctly Applies Divide-By-Two on Butterfly Outputs”
on page 12
• “Refined Pad Input Handling of 2D-FIR Block” on page 13
New Apply Geometric Transformation block
The Apply Geometric Transformation block can be used to transform an image
using a projective, affine or non-reflective similarity transformation matrix.
The block provides Polygon ROI support supplied manually or calculated
using segmentation and trace boundary techniques. This block used together
with the Estimate Geometric Transformation block provides a flexible, robust
model to transform images.
10
Version 2.6 (R2008b) Video and Image Processing Blockset™
C code generation and the Accelerator modes are
now supported for fixed-point and integer word
lengths up to 128 bits
C code generation and the Simulink Accelerator and Rapid Accelerator modes
are now supported for fixed-point and integer word lengths up to 128 bits.
The few exceptions where Real-Time Workshop® Embedded Coder™ will
not generate code for fixed-point and integer word lengths beyond 32 bits
are for the Autothreshold, Histogram Equalization, Hough Lines, Projective
Transformation, and Shear blocks.
ROI support for Minimum and Maximum blocks
Full Region of Interest (ROI) support is available for the Minimum and
Maximum blocks. Use the ROI type parameter to specify whether the ROI
is a rectangle, line, label matrix, or binary mask. Full ROI processing is
available to users who have a Video and Image Processing Blockset™ license.
If you only have a Signal Processing Blockset™ license, you can still use ROI
processing, but are limited to the ROI type Rectangles.
New and Enhanced Demos
The Video and Image Processing Blockset contain new and enhanced demos.
New Bar Code Recognition Demos
Two new demos using the Video and Image Processing Blockset to create
an image processing system which can recognize and interpret a GTIN-13
barcode. The GTIN-13 barcode, formally known as EAN-13, is an international
barcode standard. It is a superset of the widely used UPC standard.
The live video demo uses the From Video Device block provided by Image
Acquisition Toolbox™ to acquire live image data from a Unibrain Fire-i
digital camera into Simulink.
Enhanced Lane Departure Warning System Demo
This demo detects and tracks road lane markers in a video sequence and
notifies the driver if they are moving across a lane. The demo illustrates how
to use the Hough Transform, Hough Lines and Kalman Filter blocks from
11
Video and Image Processing Blockset™ Release Notes
the Video and Image Processing Blockset blocks to create a line detection
and tracking algorithm.
Enhanced Disparity Estimation for Stereo Vision Demo
The enhanced version of the demo uses a virtual reality scene as the input.
The demo provides the user with an example of using the Virtual Reality
Toolbox™.
New Data Type Support Table
The Video and Image Processing Blockset Data Type Support Table is
now available through the Simulink model Help menu. The table provides
information about data type support and code generation coverage for all
Video and Image Processing Blockset blocks. Select Help > Block Support
Table> Video and Image Processing Blockset or Help > Block Support
Table > All Tables. You can also type showvipblockdatatypetable at the
MATLAB command line to bring up the table.
2D-FFT Block Correctly Applies Divide-By-Two on
Butterfly Outputs
The Skip divide-by-two on butterfly outputs for fixed-point signals check
box on the Fixed-point pane of the 2D-FFT block dialog has been moved
to the Main pane and renamed Divide butterfly outputs by two. This
check box now correctly applies to both fixed-point and floating-point inputs.
In releases prior to R2008b, the block always ignored this check box for
floating-point inputs.
Compatibility Considerations
The 2D-FFT block can give results in R2008b and later releases that are scaled
differently than in previous releases when all the following conditions are met:
1 The block input is floating point.
2 The Divide butterfly outputs by two check box is selected (or the Skip
divide-by-two on butterfly outputs for fixed-point signals check box on
the ‘Fixed-point’ pane was NOT selected, for releases prior to R2008b)
12
Version 2.6 (R2008b) Video and Image Processing Blockset™
3 The Logging mode parameter on the Fixed-Point Tool for the model is
not set to Minimums, maximums and overflows
Make sure that this check box is set correctly for your needs. Refer to the
block reference page for more information.
Refined Pad Input Handling of 2D-FIR Block
When using Constant padding, the block now ensures that the pad value is
real when the input image is real.
Compatibility Considerations
You will get an error message if pad value is complex when the input is real.
To build a model that pads a real input with a complex value, you can use the
Bias block to add a complex zero value.
13
Video and Image Processing Blockset™ Release Notes
Version 2.5 (R2008a) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.5 (R2008a):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
Yes
Summary
Bug Reports
Includes fixes
Printable Release
Notes: PDF
Current product
documentation
New features and changes introduced in this version are:
• “New Estimate Geometric Transformation block with RANSAC and Least
Median of Squares Algorithms” on page 14
• “Increased N-Dimensional Support” on page 15
• “New and Enhanced Demos” on page 15
• “Tunability Status Modified for Several Block Parameters” on page 16
• “Enhanced From Multimedia File Block” on page 17
• “Enhanced Blob Analysis Block” on page 17
• “Blocks Obsoleted” on page 18
• “Hough Transform” on page 18
New Estimate Geometric Transformation block with
RANSAC and Least Median of Squares Algorithms
The Estimate Geometric Transformation block can be used to find the
transformation matrix which maps the greatest number of point pairs between
two images. The user can select to use the RANdom SAmple Consensus
(RANSAC) or the Least Median of Squares algorithms to calculate the
distance metric for finding the transformation matrix. For more information
see the Estimate Geometric Transformation block reference page.
14
Version 2.5 (R2008a) Video and Image Processing Blockset™
Increased N-Dimensional Support
The following blocks now have support for N-D signals:
• Variance
• Standard Deviation
• Mean
• Histogram
• Median
New and Enhanced Demos
The Video and Image Processing Blockset contain new and enhanced demos.
New Chroma-Based Road Tracking Demo
This demo uses chroma information to detect and track road edges set in
primarily residential settings where lane markings may not be present.
The Chroma-based Tracking demo illustrates how to use the Color Space
Conversion block, the Hough Transform block, and the Kalman Filter block to
detect and track information using hue and saturation. For more information
see the Chroma-based Road Tracking Demo.
Video Mosaicking Enhanced
The enhanced Video Mosaicking demo incorporates the new Estimate
Geometric Transformation block, along with the Corner Detection block,
the Projective Transformation block, and the Compositing block to create a
mosaic image from a video sequence. The demo accumulates transformation
matrices between consecutive video frames. The subsystem calculates the
transformation matrix between the current and the first video frame, and
then overlays the current video frame on to the output image. By repeating
this process, the subsystem generates a mosaic image.
Disparity Estimation for Stereo Vision
The enhanced Disparity Estimation for Stereo Vision demo uses the Corner
Detection block to find image features. If you would like to feed your own data
into the demo you may wish to explore the various corner detection methods
and other settings of the Corner Detection block.
15
Video and Image Processing Blockset™ Release Notes
Tunability Status Modified for Several Block
Parameters
The Video and Image Processing Blockset parameter tunability is modified
in several blocks. The blocks where the tunability has been modified are
listed in the table below.
Block
Parameter
Old
Tunability
Status
New Tunability
Status
Contrast
Adjustment
Percentage of pixels to
saturate [low high] (in
%)
Simulation
only
Off for Simulation
and Code
Generation
Histogram
Equalization
Histogram
Simulation
only
Off for Simulation
and Code
Generation
Gamma
Correction
All
Simulation
only
Off for Simulation
and Code
Generation
Autothreshold
Minimum value of input
Simulation
only
Off for Simulation
and Code
Generation
Maximum value of
input
Simulation
only
Off for Simulation
and Code
Generation
Value(s)
Simulation
only
On for Simulation
and Code
Generation when
Use antialiasing
is turned off
Opacity factor (between
0 and 1)
Simulation
only
On for Simulation
and Code
Generation
Specify maximum blob
area in pixels
Simulation
only
On for Simulation
and Code
Generation
Draw Shapes
Blob Analysis
16
Version 2.5 (R2008a) Video and Image Processing Blockset™
Compatability Considerations
To change the non-tunable parameters while you are working with a model,
you must stop a running simulation, change the parameter, and then start
the simulation again.
Enhanced From Multimedia File Block
The Video and Image Processing From Multimedia File block now allows for
proper synchronization of video and audio. Also, the determination of the
Frames Per Second (FPS) in the From Multimedia File Block was improved
for increased accuracy. As a result of these changes, this block might provide
a different sample time to the model. For more information about the
calculation of the default sample time by the this block, please consult the
From Multimedia File block reference page.
Compatibility Considerations
Your existing models might error out if you are combining the output from
a From Multimedia File block with the output from another source block
due to the change in the From Multimedia File block. Sample time might
now be different from the sample time from another source block in your
model, causing the model to error. If this happens, you can either change the
sample time of the other source block to −1 (inherited), or explicitly specify
the sample time you want to use in the From Multimedia File block’s Desired
sample time parameter.
Enhanced Blob Analysis Block
The Specify maximum blob area in pixels parameter in the Blob
Analysis Block is now tunable for both Simulation and Code Generation.
To accommodate this enhancement the Specify maximum blob area in
pixels parameter has been modified to no longer accept inf. The maximum
allowable value is now calculated to be the maximum of uint32 data type.
Compatibility Considerations
Entering inf for the Specify maximum blob area in pixels parameter
will cause an error.
17
Video and Image Processing Blockset™ Release Notes
Blocks Obsoleted
The following 2-D blocks have been obsoleted. Equivalent N-D blocks are
available.
• 2-D Variance
• 2-D Standard Deviation
• 2-D Mean
• 2-D Histogram
• 2-D Median
Hough Transform
An internal calculation for the Hough Transform block has been corrected.
Specifically, the rho output calculation was corrected to match the Rho
Resolution given in the input.
Compatibility Considerations
The Hough matrix, and the Rho outputs returned by the block will have
different results than those obtained from the same block in previous releases.
18
Version 2.4 (R2007b) Video and Image Processing Blockset™
Version 2.4 (R2007b) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.4 (R2007b):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
Yes
Summary
Bug Reports
Includes fixes
Printable Release
Notes: PDF
Current product
documentation
New features and changes introduced in this version are:
• “Corner Detection Block Finds Corners in Images” on page 19
• “Demo Blocks Upgraded” on page 20
• “Demos Added and Updated” on page 20
• “Demo Recategorization” on page 21
• “Lucas-Kanade Method of Optical Flow Block Enhanced” on page 23
• “Performance Improvements” on page 24
• “Removed DirectX Component Registration Limitations of From
Multimedia File, To Multimedia File, and To Video Display Blocks” on
page 25
• “Rounding Modes Added” on page 25
• “Write AVI File Block Obsoleted” on page 25
Corner Detection Block Finds Corners in Images
The Corner Detection block calculates the corner metric matrix and finds
corners in images. For more information, see the Corner Detection block
reference page.
19
Video and Image Processing Blockset™ Release Notes
Demo Blocks Upgraded
If you used the following demo blocks in your models, you need to update your
models with the latest versions of these blocks. Because these blocks have
been improved, you need to update their parameters to suit your applications.
Old Block
Name
New Block
Name
Demo Name
New Path to Block
Bit pack
Bit Pack
Video compression
vipcodec_intensity>Encoder>Block
Processing1>Block iterator>sub-block
process>Transform coding>Bit Pack
Bit unpack
Bit Unpack
Video compression
vipcodec_intensity>Decoder>Block
Processing>Block iterator>sub-block
process>Transform decoding>Bit
Unpack
Compatibility Considerations
Update your models with the latest versions of these blocks.
Demos Added and Updated
The Video and Image Processing Blockset contains three new or updated
demos for R2007b.
Video Mosaicking Demo Added
The new Video Mosaicking demo shows how to stitch video frames together to
form a mosaic image that provides a comprehensive view of a scene.
Pattern Matching Demo Allows User-Selected Tracking Target
The Target block in the Pattern Matching demo uses the Image Processing
Toolbox imrect function to let you manually select the size and position of the
region of interest you want to detect.
20
Version 2.4 (R2007b) Video and Image Processing Blockset™
Traffic Warning Sign Recognition Demo Improvements
The Traffic Warning Sign Recognition demo now uses a more robust template
matching technique to identify the signs. In addition, the demo now uses
labels to show the detected signs.
Demo Recategorization
The Video and Image Processing Blockset demos have been recategorized
into the following libraries.
Demo Title
New Library Location
Old Library Location
Abandoned Object
Detection
Industry Examples
Detection and Tracking
Lane Departure
Warning System
Industry Examples
Detection and Tracking
Surveillance Recording
Industry Examples
Detection and Tracking
Traffic Warning Sign
Recognition
Industry Examples
Detection and Tracking
Cell Counting
Analysis
Video Segmentation
Using Morphology
Concentricity
Inspection
Analysis
Video Analysis
Feature Extraction
Analysis
Video Segmentation
Using Morphology
Object Counting
Analysis
Video Segmentation
Using Morphology
Video Focus
Assessment
Analysis
Video Analysis
Image Compression
Compression
Compression
Video Compression
Compression
Compression
Motion Detection
Detection and
Recognition
Detection and Tracking
21
Video and Image Processing Blockset™ Release Notes
22
Demo Title
New Library Location
Old Library Location
Pattern Matching
Detection and
Recognition
Detection and Tracking
Scene Change
Detection
Detection and
Recognition
Video Analysis
Surveillance Recording
Detection and
Recognition
Detection and Tracking
Traffic Warning Sign
Recognition
Detection and
Recognition
Detection and Tracking
Abandoned Object
Detection
Tracking
Detection and Tracking
Lane Departure
Warning System
Tracking
Detection and Tracking
People Tracking
Tracking
Detection and Tracking
Tracking Cars Using
Background Estimation
Tracking
Detection and Tracking
Tracking Cars Using
Optical Flow
Tracking
Detection and Tracking
Disparity Estimation
for Stereo Vision
Registration
Video Analysis
Panorama Creation
Registration
Miscellaneous
Video Mosaicking
Registration
n/a
Video Stabilization
Registration
Video Enhancement
Color Segmentation
Segmentation
Detection and Tracking
Edge Detection
Segmentation
Video Analysis
Histogram
Equalization
Enhancement
Video Enhancement
Periodic Noise
Reduction
Enhancement
Video Enhancement
Rotation Correction
Enhancement
Video Enhancement
Bouncing Balls
Display and Graphics
Miscellaneous
Version 2.4 (R2007b) Video and Image Processing Blockset™
Demo Title
New Library Location
Old Library Location
Histogram Display
Display and Graphics
Video Analysis
MPlay Simulink
Tutorial
Display and Graphics
Video Playback
Object Extraction and
Replacement
Display and Graphics
Video Segmentation
Using Morphology
Picture in Picture
Display and Graphics
Miscellaneous
Projecting Videos onto
a Rotating Cube
Display and Graphics
Geometric
Transformation
Visual Effects
Display and Graphics
Miscellaneous
Edge Detection with
Live Video Acquisition
Live Video Processing
Video Analysis
Histogram Display with
Live Video Acquisition
Live Video Processing
Video Analysis
Lucas-Kanade Method of Optical Flow Block
Enhanced
The Optical Flow block now has two options for solving the optical flow
constraint equation when you set the Method parameter to Lucas-Kanade:
• Difference filter [-1 1] — This was the only option available in
previous releases, and is the default option.
• Derivative of Gaussian — This option is new in this release.
Use the new Temporal gradient filter parameter to select the filter option.
The Optical Flow block supports fixed-point data types when the Method
parameter is set to Lucas-Kanade and the Temporal gradient filter
parameter is set to Difference filter [-1 1].
For more information about these enhancements, see the Optical Flow block
reference page.
23
Video and Image Processing Blockset™ Release Notes
Performance Improvements
The Video and Image Processing Blockset contains three performance
enhancements for R2007b.
Label Block Has More Efficient Labeling Algorithm
The old block implementation was based on a flood-fill algorithm, while the
new algorithm is union-find based. As a result, the new labeling algorithm
uses less memory and is a more cache efficient.
Compatibility Considerations. The new labeling algorithm might label the
objects in the image with different label numbers.
Morphological Blocks Experience Speed Increase
The speed of simulation and the speed at which your generated code runs will
increase, if you meet all of the following conditions:
• You are using any of the blocks in the Morphological Operations library
except the Label block.
• You are working with intensity images.
• The structuring element you are using has four or more contiguous
elements that form a horizontal line, a vertical line, or a shape that the
block can decompose into a set of horizontal lines, vertical lines, or both.
For more information about structuring elements, see the strel function
reference page in the Image Processing Toolbox documentation.
Row-Major Data Format Supported by Chroma Resampling,
Deinterlacing, and Insert Text blocks
The Chroma Resampling, Deinterlacing, and Insert Text blocks give you the
option to process data that is stored in row-major format when you select the
Input image is transposed (data order is row major) check box. For
more information, see the Chroma Resampling, Deinterlacing, and Insert
Text block reference pages.
24
Version 2.4 (R2007b) Video and Image Processing Blockset™
Removed DirectX Component Registration Limitations
of From Multimedia File, To Multimedia File, and To
Video Display Blocks
Previously, you were unable to use the From Multimedia File, To Multimedia
File, or To Video Display blocks without first having someone with system
administrator privileges register the DirectX components associated with
these blocks on your Windows machine. This limitation has been removed.
Rounding Modes Added
The Rounding mode parameter on the Fixed-point pane of Video and Image
Processing Blockset blocks now has two additional options, Zero and Ceiling.
For more information about this parameter, see “Rounding Modes” in the
Signal Processing Blockset User’s Guide.
Write AVI File Block Obsoleted
The To Multimedia File block now supports AVI files on UNIX platforms.
Consequently, the Write AVI File Block has been obsoleted to remove
duplicate functionality.
Compatibility Considerations
Replace any instances of the Write AVI File block with the To Multimedia
File block.
25
Video and Image Processing Blockset™ Release Notes
Version 2.3 (R2007a) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.3 (R2007a):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
Yes
Summary
Bug Reports
Includes fixes
Printable Release
Notes: PDF
Current product
documentation
New features and changes introduced in this version are:
• “Block Parameters Support Additional Data Types” on page 27
• “Color Data Management Simplified Using 3-D Array Representation”
on page 27
• “Color Data Support Added to 11 Blocks” on page 27
• “Contrast Adjustment Block Improved” on page 28
• “Demo Blocks Upgraded” on page 28
• “Disparity Estimation for Stereo Vision Demo Computes the Disparity Map
Between Stereo Images” on page 29
• “Improved Tracking Algorithms in People Tracking and Lane Departure
Warning System Demos” on page 29
• “Insert Text Block Now Supports Placing Multiple Text Strings on Images”
on page 30
• “Removed Lane Detection and Tracking and Continuous Image Rotation
Demos” on page 30
• “Video and Image Processing Blocks Are Now Forward Compatible” on
page 31
26
Version 2.3 (R2007a) Video and Image Processing Blockset™
Block Parameters Support Additional Data Types
Previously, the Video and Image Processing Blockset block dialog box
parameters supported only double-precision, floating-point data types. They
now support additional data types. For more information about Simulink data
types, see “Specifying Numeric Parameter Values” and “Working with Data
Types” in the Simulink documentation.
Color Data Management Simplified Using 3-D Array
Representation
Video and Image Processing Blockset enables you to work with color images
and video signals as multidimensional arrays. This change improves the
usability of the blockset. For more information, see “Color Image Processing”
in the Video and Image Processing Blockset User’s Guide.
Compatibility Considerations
If you open an old model that links to a block that now supports
multidimensional arrays, an asterisk appears next to the model name, and
you are prompted to save the model before you close it. After you save the
model, you won’t experience this behavior again.
Color Data Support Added to 11 Blocks
Color data support has been added to the following blocks:
• Compositing
• Deinterlacing
• Frame Rate Display
• Gamma Correction
• Gaussian Pyramid
• Image Data Type Conversion
• Image Pad
• Resize
• Rotate
27
Video and Image Processing Blockset™ Release Notes
• Shear
• Translate
Contrast Adjustment Block Improved
This release removes an unnecessary parameter from this block.
Compatibility Considerations
If you open a old model that contains a Contrast Adjustment block, you might
see the following warnings:
Warning: In instantiating linked block
'mcontrastadjust/Contrast Adjustment1':
Contrast Adjustment block (mask) does not
have a parameter named 'accumMode'.
Warning: In instantiating linked block
'mcontrastadjust/Contrast Adjustment1':
Contrast Adjustment block (mask) does not
have a parameter named 'accumWordLength'.
Warning: In instantiating linked block
'mcontrastadjust/Contrast Adjustment1':
Contrast Adjustment block (mask) does not
have a parameter named 'accumFracLength'.
You can ignore these warning messages. After you save the model, you won’t
experience this behavior again.
Demo Blocks Upgraded
If you used the following demo blocks in your models, you need to update your
models with the latest versions of these blocks. Because these block have been
improved, you need to update their parameters to suit your applications.
28
Version 2.3 (R2007a) Video and Image Processing Blockset™
Old Block
Name
New Block
Name
Demo Name
New Path to Block
Merge Box
Merge blobs
belonging to the
same target
Color Segmentation
vipcolorsegmentation>Color
Segmentation>Region
Filtering>Extract Face and
Hand
People Tracking
Traffic Warning Sign
Recognition
viptrackpeople>Detection
vipwarningsigns>Warning
Sign Recognition>Region
filtering (red)
Background
Estimator
– Temporal
Median
Estimator
Background
Estimator
Tracking Cars Using
Background Estimation
viptraffic
Compatibility Considerations
Update your models with the latest versions of these blocks.
Disparity Estimation for Stereo Vision Demo
Computes the Disparity Map Between Stereo Images
You can find this demo in the Video Analysis section of the Video and
Image Processing Blockset demos. You can open the demo model by typing
vipstereo at the MATLAB command prompt or click vipstereo.
Improved Tracking Algorithms in People Tracking
and Lane Departure Warning System Demos
Improvements to the tracking algorithms in these demos make them more
robust. As part of the improvements, the demos now contain the new Kalman
Filter block in Signal Processing Blockset. For more information, see the
Kalman Filter block reference page. You can open these demo models by
typing viptrackpeople or vipldws at the MATLAB command prompt.
Alternatively, click viptrackpeople or vipldws.
29
Video and Image Processing Blockset™ Release Notes
Insert Text Block Now Supports Placing Multiple Text
Strings on Images
You can use the Insert Text block to place multiple text strings on images.
For more information, see “Annotating AVI Files at Two Separate Locations”
in the Video and Image Processing Blockset User’s Guide. This block has been
changed in two other ways:
• The Select port expects zero-based inputs. Previously, this port expected
one-based inputs.
• If the input image is a floating-point data type, the input to the Opacity
port must be the same floating-point data type.
These changes make the Insert Text block more consistent with the other
blocks in Video and Image Processing Blockset. For more information, see
the Insert Text block reference page.
Compatibility Considerations
To prevent incorrect results in your existing models, you need to verify that
the signal connected to the Select port contains zero-based inputs. Also, if the
input image is a floating point-data type, verify that the input to the Opacity
port is the same floating-point data type.
Removed Lane Detection and Tracking and
Continuous Image Rotation Demos
The Lane Departure Warning System demo now incorporates the functionality
illustrated by the Lane Detection and Tracking demo.
The Continuous Image Rotation demo illustrated the use of Simulink busses
for color processing. You no longer need to use this technique because we
introduced color data processing using 3-D array representation.
Compatibility Considerations
If you want to continue to work with these demos, you need to save them to a
separate folder on your system before installing Video and Image Processing
Blockset Version 2.3 (R2007a).
30
Version 2.3 (R2007a) Video and Image Processing Blockset™
Video and Image Processing Blocks Are Now
Forward Compatible
When you save R2007a models in R2006b format, the Video and Image
Processing blocks do not produce any errors or warnings.
31
Video and Image Processing Blockset™ Release Notes
Version 2.2 (R2006b) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.2 (R2006b):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
Yes
Summary
Bug Reports
Includes fixes
Printable Release
Notes: PDF
Current product
documentation
New features and changes introduced in this version are:
Contrast Adjustment Block Linearly Scales Pixel
Values
The Contrast Adjustment block adjusts the contrast of an image by
linearly scaling the pixel values between upper and lower limits. For more
information, see the Contrast Adjustment block reference page.
Demosaic Block Converts Bayer’s Format Images to
RGB
The Demosaic block takes in images in Bayer’s format and outputs RGB
images. For more information, see the Demosaic block reference page.
Trace Boundaries Block Returns Object Boundary
Pixel Coordinates in Binary Images
The Trace Boundaries block traces object boundaries in binary images. For
more information, see the Trace Boundaries block reference page.
32
Version 2.2 (R2006b) Video and Image Processing Blockset™
Blob Analysis Block Outputs Orientation Angles in
Radians
The Blob Analysis block now outputs a vector of angles in radians at the
Orientation port. Previously, the block output a vector of angles in degrees.
This change makes the block consistent with other blocks in Video and
Image Processing Blockset. For more information, see the Blob Analysis
block reference page.
Compatibility Considerations
If you performed any calculations with the Orientation port output, you must
take into account that the angle values are now in radians.
Draw Markers Block Supports Antialiasing
You can now draw markers using an antialiasing algorithm if you select the
Use antialiasing check box. For more information, see the Draw Markers
block reference page.
From Multimedia File Block Supports Uncompressed
AVI Files on UNIX
This block now supports uncompressed AVI files on UNIX platforms. As a
result, you no longer need to use separate blocks to import multimedia files if
you are working on both Windows and UNIX platforms.
Read AVI File Block Obsoleted
The From Multimedia File block now supports AVI files on UNIX platforms.
Consequently, the Read AVI File Block has been obsoleted to remove duplicate
functionality.
Compatibility Considerations
Replace any instances of the Read AVI File block with the From Multimedia
File block.
33
Video and Image Processing Blockset™ Release Notes
Resize Block Enhanced
The Resize block has been improved in three ways:
• You can now resize a particular region of an image if you select the Enable
ROI processing check box.
• The block’s algorithm is optimized when the Resize factor in % parameter
is an integer value.
• The block now uses a different axis for resampling. This change reduces
edge artifacts and makes the block output more consistent with the output
of the imresize function in Image Processing Toolbox.
For more information, see the Resize block reference page.
Compatibility Considerations
Due to the different axis that is used for resampling, you might observe
different block output as compared to previous releases.
Shear and Translate Blocks Support Background Fill
Values
You can now specify the intensity of the background pixels.
Abandoned Object Detection Demo Illustrates a
Tracking Algorithm
You can find this demo in the Detection and Tracking library. Open the demo
model by typing vipabandonedobj at the MATLAB command prompt.
Concentricity Inspection Demo Examines a
Cross-Section of Optical Fiber
You can find this demo in the Video Analysis library. Open the demo model
by typing vipconcentricity at the MATLAB command prompt.
34
Version 2.2 (R2006b) Video and Image Processing Blockset™
Lane Departure Warning Demo Supports Fixed Point
This demo is now available in a fixed-point version. You can find this demo in
the Detection and Tracking library. Open the demo model by typing vipldws
at the MATLAB command prompt.
Pattern Matching Demo Provides Additional
Functionality
Now, in addition to changing the pyramiding factor, you can change the
number of targets to track and specify the domain in which to perform the
cross-correlation.
People Tracking Demo Supports Fixed Point
This demo is now available in a fixed-point version. You can find this demo
in the Detection and Tracking library. Open the demo model by typing
viptrackpeople at the MATLAB command prompt.
Demos Might Require Downloading Source Files
For some demos, you must download source files from The MathWorks Web
site. When you attempt to run these demos, a dialog box opens and asks you if
you want to download files from the MathWorks Web site. If you click Yes,
a Web page that explains how to download the necessary files opens. If you
click No, the dialog box closes, and you are unable to run the demo.
Compatibility Considerations
The Scene Change Detection, Traffic Warning Sign Recognition, and
Abandoned Object Detection demo source files have been moved to the
MathWorks Web site. Before you can run these demos, you need to download
the required video files.
35
Video and Image Processing Blockset™ Release Notes
Version 2.1 (R2006a) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.1 (R2006a):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
Yes—Details labeled
as Compatibility
Considerations,
below. See also
Summary.
Bug Reports
at Web site
No
New features and changes introduced in this version are
Autothreshold Block Enhanced
The Autothreshold block lets you scale the threshold value computed by
Otsu’s method using the new Scale threshold and Threshold scaling
factor parameters.
Draw Shapes Block Enhanced
For lines, polylines, polygons, and circles, the Draw Shapes block can now
draw antialiased shapes.
isfilterseparable Function Added
Use the isfilterseparable function to determine whether filter coefficients
are separable.
Lane Departure Warning System Demo Added
You can find this demo in the Detection and Tracking library. Open the demo
model by typing vipldws at the MATLAB command prompt.
36
Version 2.1 (R2006a) Video and Image Processing Blockset™
MPlay GUI Access Changed
Before, you could open the MPlay GUI using the MPlay block or by typing
mplay at the MATLAB command prompt. The MPlay block has been removed.
So, you can only open the GUI using the command prompt.
Compatibility Considerations
Delete the MPlay blocks in your old models.
37
Video and Image Processing Blockset™ Release Notes
Version 2.0 (R14SP3+) Video and Image Processing
Blockset
This table summarizes what’s new in Version 2.0 (R14SP3+):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
No
Bug Reports
at Web site
No
New features and changes introduced in this version are
Blocks Added
Block Matching
Use the Block Matching block to estimate motion between images or video
frames.
Deinterlacing
Use the Deinterlacing block to remove motion artifacts by deinterlacing the
input video signal.
Gaussian Pyramid
Use the Gaussian Pyramid block to perform Gaussian pyramid decomposition.
Optical Flow
Use the Optical Flow block to estimate object velocities.
Projective Transformation
Use the Projective Transformation block to transform a quadrilateral into
another quadrilateral.
38
Version 2.0 (R14SP3+) Video and Image Processing Blockset™
PSNR
Use the PSNR block to compute the peak signal-to-noise ratio (PSNR)
between two images.
Block Enhancements
2-D Mean, 2-D Standard Deviation, and 2-D Variance
The 2-D Mean, 2-D Standard Deviation, and 2-D Variance blocks let you
compute the statistic value over a particular region of interest (ROI).
Blob Analysis
The Blob Analysis block lets you calculate the perimeter of blobs.
Color Space Conversion
The Color Space Conversion block lets you specify the standard to use for
conversions between R’G’B’ and Y’CbCr color spaces. Your choices are Rec.
601 (SDTV) or Rec. 709 (HDTV).
Compositing, Image Data Type Conversion, Median Filter, and
SAD
The Compositing, Image Data Type Conversion, Median Filter, and SAD
blocks accept Boolean data types on their input ports.
MPlay
The mplay GUI has been enhanced, so it is easier to use and has greater
capabilities.
Demos Added
Projecting Videos onto a Rotating Cube
You can find this demo in the Geometric Transformation library. Open the
demo model by typing viprm at the MATLAB command prompt.
39
Video and Image Processing Blockset™ Release Notes
Tracking Cars Using Optical Flow
You can find this demo in the Detection and Tracking library. Open the demo
model by typing viptrafficof at the MATLAB command prompt.
Traffic Warning Sign Recognition
You can find this demo in the Detection and Tracking library. Open the demo
model by typing vipwarningsigns at the MATLAB command prompt.
Demo Enhancements
Periodic Noise Reduction
You can find this demo in the Video Enhancement library. Open the demo
model by typing vipstripes at the MATLAB command prompt. This demo
now includes a frequency domain filtering technique.
40
Version 1.2 (R14SP3) Video and Image Processing Blockset™
Version 1.2 (R14SP3) Video and Image Processing
Blockset
This table summarizes what’s new in Version 1.2 (R14SP3):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
Yes—Details labeled
as Compatibility
Considerations,
below. See also
Summary.
Bug Reports
at Web site
No
New features and changes introduced in this version are
Block Enhancements
2–D FIR Filter
The 2-D FIR Filter block now supports separable filters.
Blob Analysis
The Blob Analysis block lets you specify the size of the blobs you want to find
and to exclude the blobs touching the image border.
Color Space Conversion
The Color Space Conversion block supports conversions between the R’G’B’
and HSV, sR’G’B’ and XYZ, and sR’G’B’ and La*b* color spaces.
Draw Shapes
The Draw Shapes block lets you draw filled polygons on your video.
41
Video and Image Processing Blockset™ Release Notes
Edge Detection
The Edge Detection block supports the Canny edge detection method for
floating-point arithmetic.
Location Port of the Insert Text and Compositing Blocks No
Longer Supports as Many Data Types
The Location port of the Insert Text and Compositing blocks used to support
double-precision floating-point, single-precision floating-point, and Boolean
data types as well as 8-, 16-, and 32-bit signed and unsigned integers. Now
this port supports only double-precision floating-point and single-precision
floating-point data types when the block input is a floating-point data type.
Compatibility Considerations. You might need to change the data type of
the signal input to the Location port.
MPlay
The mplay GUI can stop and start a Simulink simulation. Also, its interface
has been enhanced, so it is easier to use and has greater capabilities.
Read AVI File, Read Binary File, and From Multimedia File
The Read AVI File, Read Binary File, and From Multimedia File blocks can
return an end-of-file indicator, which lets you determine when the end of your
video file has been reached.
Read Binary File and Write Binary File
The Read Binary File and Write Binary File blocks let you specify the byte
ordering in custom files. You can choose between big endian and little endian
data organization.
Fixed-Point Support
The Autothreshold block now supports fixed-point data types.
42
Version 1.2 (R14SP3) Video and Image Processing Blockset™
Demos Added
Cell Counting
You can find this demo in the Video Segmentation Using Morphology library.
Open the demo model by typing vipcellcounting at the MATLAB command
prompt.
Color Segmentation
You can find this demo in the Detection and Tracking library. Open the demo
model by typing vipcolorsegmentation at the MATLAB command prompt.
MPlay Simulink Tutorial
You can find this demo in the Video Playback library. Open the demo model
by typing vipmplaytut at the MATLAB command prompt.
People Tracking
You can find this demo in the Detection and Tracking library. Open the demo
model by typing viptrackpeople at the MATLAB command prompt.
Visual Effects
You can find this demo in the Miscellaneous library. Open the demo model by
typing vipeffects at the MATLAB command prompt.
43
Video and Image Processing Blockset™ Release Notes
Version 1.1 (R14SP2) Video and Image Processing
Blockset
This table summarizes what’s new in Version 1.1 (R14SP2):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
Yes—Details labeled
as Compatibility
Considerations,
below. See also
Summary.
Bug Reports
at Web site
No
New features and changes introduced in this version are
Blocks Added
Blob Analysis
Use the Blob Analysis block to compute statistical values for labeled regions.
Draw Markers
Use the Draw Markers block to mark locations by drawing circles, x-marks,
plus signs, stars, or squares.
Draw Shapes
Use the Draw Shapes block to draw rectangles, lines, polygons, or circles on
images.
Find Local Maxima
Use the Find Local Maxima block to find local maxima in matrices.
44
Version 1.1 (R14SP2) Video and Image Processing Blockset™
Hough Lines
Use the Hough Lines block to find Cartesian coordinates of lines that are
described by rho and theta pairs.
Image Data Type Conversion
Use the Image Data Type Conversion block to convert and scale input image
to specified output data type.
MPlay
Use the mplay GUI to block to convert and scale input image to specified
output data type.
Read Binary File
Use the Read Binary File block to read binary video data from files.
Variable Selector
Use the Variable Selector block to select a subset of rows or columns from
input.
Write Binary File
Use the Write Binary File block to write binary video data to files.
Demos Added
Bouncing balls
You can find this demo in the Miscellaneous library. Open the demo model by
typing vipbouncingballs at the MATLAB command prompt.
Lane detection and tracking
You can find this demo in the Detection and Tracking library. Open the demo
model by typing vipdetectlane at the MATLAB command prompt.
45
Video and Image Processing Blockset™ Release Notes
Tracking cars in video
You can find this demo in the Detection and Tracking library. Open the demo
model by typing viptraffic at the MATLAB command prompt.
Block Obsoleted
Draw Shape
The Draw Shape block is obsolete. It may be removed in a future version
of Video and Image Processing Blockset. Use the replacement block Draw
Shapes.
Compatibility Considerations. Replace the Draw Shape blocks in your
models with Draw Shapes blocks.
46
Version 1.0.1 (R14SP1) Video and Image Processing Blockset™
Version 1.0.1 (R14SP1) Video and Image Processing
Blockset
This table summarizes what’s new in Version 1.0.1 (R14SP1):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
No
Fixed bugs
No
New features and changes introduced in this version are
Picture in Picture Demo Added
You can find this demo in the Miscellaneous library. Open the demo model by
typing vippip at the MATLAB command prompt.
Panorama Creation Demo Added
You can find this demo in the Miscellaneous library. Open the demo model by
typing vippanorama at the MATLAB command prompt.
Video stabilization (fixed-point version) Demo Added
You can find this demo in the Video Enhancement library. Open the
demo model by typing vipstabilize_fixpt_win (Windows only) or
vipstabilize_fixpt_all (Platform independent) the MATLAB command
prompt.
47
Video and Image Processing Blockset™ Release Notes
Version 1.0 (R14) Video and Image Processing Blockset
This table summarizes what’s new in Version 1.0 (R14):
New Features and
Changes
Version
Compatibility
Considerations
Fixed Bugs and
Known Problems
Related
Documentation at
Web Site
Yes
Details below
No
No bug fixes
No
New features and changes introduced in this version are
Introduction to Video and Image Processing Blockset
Video and Image Processing Blockset is a tool used for the rapid design,
prototyping, graphical simulation, and efficient code generation of video
processing algorithms. The Video and Image Processing Blockset blocks
can import streaming video into the Simulink environment and perform
two-dimensional filtering, geometric and frequency transforms, block
processing, motion estimation, edge detection and other signal processing
algorithms. You can also use the blockset in conjunction with Real-Time
Workshop to automatically generate embeddable C code for real-time
execution.
You can access the main Video and Image Processing Blockset library from
the MATLAB command line by typing viplib. This main library has 11
libraries that contain 52 blocks.
Demos Introduced
Motion detection
You can find this demo in the Detection and Tracking library. Open the demo
model by typing vipmotion at the MATLAB command prompt.
48
Version 1.0 (R14) Video and Image Processing Blockset™
Surveillance recording
You can find this demo in the Detection and Tracking library. Open the demo
model by typing vipsurveillance at the MATLAB command prompt.
Pattern matching
You can find this demo in the Detection and Tracking library. Open the demo
model by typing vippattern at the MATLAB command prompt.
Video compression
You can find this demo in the Compression library. Open the demo model by
typing vipcodec at the MATLAB command prompt.
Image compression
You can find this demo in the Compression library. Open the demo model by
typing vipimagecompression at the MATLAB command prompt.
Histogram display
You can find this demo in the Video Analysis library. Open the demo model
by typing viphistogram at the MATLAB command prompt.
Edge detection
You can find this demo in the Video Analysis library. Open the demo model
by typing vipedge at the MATLAB command prompt.
Scene change detection
You can find this demo in the Video Analysis library. Open the demo model
by typing vipscenechange at the MATLAB command prompt.
Video focus assessment
You can find this demo in the Video Analysis library. Open the demo model
by typing vipfocus at the MATLAB command prompt.
49
Video and Image Processing Blockset™ Release Notes
Video stabilization
You can find this demo in the Video Enhancement library. Open the demo
model by typing vipstabilize at the MATLAB command prompt.
Periodic noise reduction
You can find this demo in the Video Enhancement library. Open the demo
model by typing vipstripes at the MATLAB command prompt.
Histogram equalization
You can find this demo in the Video Enhancement library. Open the demo
model by typing viphisteq at the MATLAB command prompt.
Rotation correction
You can find this demo in the Video Enhancement library. Open the demo
model by typing viphough at the MATLAB command prompt.
Feature extraction
You can find this demo in the Video Segmentation Using Morphology library.
Open the demo model by typing vipspokes at the MATLAB command prompt.
Object counting
You can find this demo in the Video Segmentation Using Morphology library.
Open the demo model by typing vipstaples at the MATLAB command
prompt.
Object extraction and replacement
You can find this demo in the Video Segmentation Using Morphology library.
Open the demo model by typing vipobj at the MATLAB command prompt.
Continuous image rotation
You can find this demo in the Geometric Transformation library. Open the
demo model by typing viprotate at the MATLAB command prompt.
50
Version 1.0 (R14) Video and Image Processing Blockset™
Data Type Support
All Video and Image Processing blocks support double-precision and
single-precision floating-point data types during simulation and code
generation. The following two blocks only support double-precision and
single-precision floating-point data types on their input and output ports:
• 2-D Standard Deviation
• Autothreshold
Many blocks also support fixed-point data types. To use any data type other
than double-precision and single-precision floating point, you must install
Simulink Fixed Point.
Full Support of Embedded Real-Time (ERT) C Code
Generation
All Video and Image Processing Blockset blocks support embedded real-time
(ERT) ANSI C code generation (requires the Real-Time Workshop Embedded
Coder).
51
Video and Image Processing Blockset™ Release Notes
Compatibility Summary for Video and Image Processing
Blockset
This table summarizes new features and changes that might cause
incompatibilities when you upgrade from an earlier version, or when you
use files on multiple versions. Details are provided in the description of the
new feature or change.
Version (Release)
New Features and Changes with
Version Compatibility Impact
Latest Version
V2.8 (R2009b)
None
V2.7 (R2009a)
None
V2.6 (R2008b)
See the Compatibility
Considerations subheading
for each of these new features and
changes:
• “2D-FFT Block Correctly Applies
Divide-By-Two on Butterfly
Outputs” on page 12
• “Refined Pad Input Handling of
2D-FIR Block” on page 13
V2.5 (R2008a)
See the Compatibility
Considerations subheading
for each of these new features and
changes:
• “Tunability Status Modified for
Several Block Parameters” on
page 16
• “Enhanced From Multimedia File
Block” on page 17
• “Hough Transform” on page 18
52
Compatibility Summary for Video and Image Processing Blockset™
Version (Release)
New Features and Changes with
Version Compatibility Impact
V2.4 (R2007b)
See the Compatibility
Considerations subheading
for each of these new features and
changes:
• “Demo Blocks Upgraded” on page
20
• “Label Block Has More Efficient
Labeling Algorithm” on page 24
• “Write AVI File Block Obsoleted”
on page 25
V2.3 (R2007a)
See the Compatibility
Considerations subheading
for each of these new features and
changes:
• “Color Data Management
Simplified Using 3-D Array
Representation” on page 27
• “Contrast Adjustment Block
Improved” on page 28
• “Demo Blocks Upgraded” on page
28
• “Insert Text Block Now Supports
Placing Multiple Text Strings on
Images” on page 30
• “Removed Lane Detection and
Tracking and Continuous Image
Rotation Demos” on page 30
53
Video and Image Processing Blockset™ Release Notes
Version (Release)
New Features and Changes with
Version Compatibility Impact
V2.2 (R2006b)
See the Compatibility
Considerations subheading
for each of these new features and
changes:
• “Blob Analysis Block Outputs
Orientation Angles in Radians” on
page 33
• “Read AVI File Block Obsoleted”
on page 33
• “Resize Block Enhanced” on page
34
• “Demos Might Require
Downloading Source Files”
on page 35
V2.1 (R2006a)
See the Compatibility
Considerations subheading
for this new feature or change:
• “MPlay GUI Access Changed” on
page 37
V2.0 (R14SP3+)
None
V1.2 (R14SP3)
See the Compatibility
Considerations subheading
for this new feature or change:
• “Location Port of the Insert
Text and Compositing Blocks No
Longer Supports as Many Data
Types” on page 42
54
Compatibility Summary for Video and Image Processing Blockset™
Version (Release)
New Features and Changes with
Version Compatibility Impact
V1.1 (R14SP2)
See the Compatibility
Considerations subheading
for this new feature or change:
• “Block Obsoleted” on page 46
V1.0.1 (R14SP1)
None
V1.0 (R14)
None
55
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