Video and Image Processing Blockset 3.0

Introduction

Video and Image Processing Blockset™ provides algorithms and tools for the design and simulation of video processing, image processing, and computer vision systems. You can process video and image data to solve problems such as noise, low contrast, out-of-focus optics, and artifacts resulting from interlaced video. You can then perform tasks such as motion analysis, object detection and tracking, video stabilization, and disparity estimation for stereo vision. Most algorithms and tools are available as both System objects (for use in MATLAB®) and blocks (for use in Simulink®).

Tools for multimedia file I/O, video display, drawing graphics, and compositing enable you to visualize, simulate, and evaluate design alternatives. For embedded system design and rapid prototyping, the blockset supports fixed-point arithmetic, C-code generation, and implementation on embedded hardware.

Key Features

• System objects for use in MATLAB and blocks for use in Simulink
• Video processing algorithms, including block matching, deinterlacing, and optical flow
• Image processing algorithms, including filtering, geometric transformations, and transforms
• Image analysis algorithms, including blob analysis, edge detection, morphology, and segmentation
• Computer vision algorithms, including object tracking, stereo vision, video mosaicking, and video stabilization
• Multimedia file I/O, video display, graphic overlays, and compositing
• Support for floating-point, integer, and fixed-point data types of arbitrary word length
• Support for automatic C-code generation