User manual MATLAB VIDEO AND IMAGE PROCESSING BLOCKSET RELEASE NOTES

[. . . ] Video and Image Processing BlocksetTM Release Notes How to Contact The MathWorks Web Newsgroup www. mathworks. com/contact_TS. html Technical Support www. mathworks. com comp. soft-sys. matlab suggest@mathworks. com bugs@mathworks. com doc@mathworks. com service@mathworks. com info@mathworks. com Product enhancement suggestions Bug reports Documentation error reports Order status, license renewals, passcodes Sales, pricing, and general information 508-647-7000 (Phone) 508-647-7001 (Fax) The MathWorks, Inc. 3 Apple Hill Drive Natick, MA 01760-2098 For contact information about worldwide offices, see the MathWorks Web site. Video and Image Processing BlocksetTM Release Notes © COPYRIGHT 2004­2010 by The MathWorks, Inc. The software described in this document is furnished under a license agreement. The software may be used or copied only under the terms of the license agreement. [. . . ] 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. 21 Video and Image Processing BlocksetTM Release Notes Blocks Obsoleted The following 2-D blocks have been obsoleted. · 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. 22 Version 2. 4 (R2007b) Video and Image Processing BlocksetTM Version 2. 4 (R2007b) Video and Image Processing Blockset This table summarizes what's new in Version 2. 4 (R2007b): New Features and Changes Yes Details below Version Compatibility Considerations Yes Summary Fixed Bugs and Known Problems Bug Reports Includes fixes Related Documentation at Web Site 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 23 · "Demo Blocks Upgraded" on page 24 · "Demos Added and Updated" on page 24 · "Demo Recategorization" on page 25 · "Lucas-Kanade Method of Optical Flow Block Enhanced" on page 27 · "Performance Improvements" on page 28 · "Removed DirectX Component Registration Limitations of From Multimedia File, To Multimedia File, and To Video Display Blocks" on page 29 · "Rounding Modes Added" on page 29 · "Write AVI File Block Obsoleted" on page 29 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. 23 Video and Image Processing BlocksetTM 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 Bit pack New Block Name Bit Pack Demo Name Video compression New Path to Block vipcodec_intensity>Encoder>Block Processing1>Block iterator>sub-block process>Transform coding>Bit Pack vipcodec_intensity>Decoder>Block Processing>Block iterator>sub-block process>Transform decoding>Bit Unpack Bit unpack Bit Unpack Video compression 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. 24 Version 2. 4 (R2007b) Video and Image Processing BlocksetTM 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 Abandoned Object Detection Lane Departure Warning System Surveillance Recording Traffic Warning Sign Recognition Cell Counting Concentricity Inspection Feature Extraction Object Counting Video Focus Assessment Image Compression Video Compression Motion Detection New Library Location Industry Examples Industry Examples Industry Examples Industry Examples Analysis Analysis Analysis Analysis Analysis Compression Compression Detection and Recognition Old Library Location Detection and Tracking Detection and Tracking Detection and Tracking Detection and Tracking Video Segmentation Using Morphology Video Analysis Video Segmentation Using Morphology Video Segmentation Using Morphology Video Analysis Compression Compression Detection and Tracking 25 Video and Image Processing BlocksetTM Release Notes Demo Title Pattern Matching Scene Change Detection Surveillance Recording Traffic Warning Sign Recognition Abandoned Object Detection Lane Departure Warning System People Tracking Tracking Cars Using Background Estimation Tracking Cars Using Optical Flow Disparity Estimation for Stereo Vision Panorama Creation Video Mosaicking Video Stabilization Color Segmentation Edge Detection Histogram Equalization Periodic Noise Reduction Rotation Correction Bouncing Balls New Library Location Detection and Recognition Detection and Recognition Detection and Recognition Detection and Recognition Tracking Tracking Tracking Tracking Tracking Registration Registration Registration Registration Segmentation Segmentation Enhancement Enhancement Enhancement Display and Graphics Old Library Location Detection and Tracking Video Analysis Detection and Tracking Detection and Tracking Detection and Tracking Detection and Tracking Detection and Tracking Detection and Tracking Detection and Tracking Video Analysis Miscellaneous n/a Video Enhancement Detection and Tracking Video Analysis Video Enhancement Video Enhancement Video Enhancement Miscellaneous 26 Version 2. 4 (R2007b) Video and Image Processing BlocksetTM Demo Title Histogram Display MPlay Simulink Tutorial Object Extraction and Replacement Picture in Picture Projecting Videos onto a Rotating Cube Visual Effects Edge Detection with Live Video Acquisition Histogram Display with Live Video Acquisition New Library Location Display and Graphics Display and Graphics Display and Graphics Display and Graphics Display and Graphics Display and Graphics Live Video Processing Live Video Processing Old Library Location Video Analysis Video Playback Video Segmentation Using Morphology Miscellaneous Geometric Transformation Miscellaneous Video Analysis 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. 27 Video and Image Processing BlocksetTM 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. 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. 28 Version 2. 4 (R2007b) Video and Image Processing BlocksetTM 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. [. . . ] 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. 52 Version 1. 0 (R14) Video and Image Processing BlocksetTM Surveillance recording You can find this demo in the Detection and Tracking library. [. . . ]