Video and Image Processing Blockset™ 2.5

Product Description

• Introduction and Key Features
• Modeling and Simulating Video and Imaging Systems
• Generating and Optimizing C Code
• Multimedia I/O, Video Viewer, and Display Blocks
• Video and Image Processing Algorithms
• Video and Image Analysis

“The MathWorks has a long history in the image processing application space. The new Video and Image Processing Blockset will eliminate many of the work flow pains that imaging designers have faced in communicating their specifications, and in developing, optimizing, and debugging their systems.”

Charles Poynton - noted digital video processing author and consultant

Introduction

The Video and Image Processing Blockset extends Simulink with a rich, customizable framework for the rapid design, simulation, implementation, and verification of video and image processing algorithms and systems. It includes basic primitives and advanced algorithms for designing embedded imaging systems in a wide range of applications in aerospace and defense, automotive, communications, consumer electronics, education, and medical electronics industries.

Built-in block libraries provide two-dimensional (2-D) filters, conversions, geometric transformations, morphological operations, 2-D transforms, motion estimation techniques, and input/output (I/O) capabilities. The blockset supports floating- and fixed-point data types for modeling, simulation, and C-code generation. It provides analysis and statistical functions to enable rapid optimization and debugging of your models. These functions include video displays, scopes, and other techniques for visualizing image and video data and validating simulation results.

"We are working on real-time image processing with TI DSP (DM64x) as the target processors for a retinal prosthesis project. The Video and Image Processing Blockset makes the task of creating our design and working prototypes much simpler."

Dr. James Weiland - Intraocular Retinal Prosthesis Lab, Doheny Eye Institute

Tracking cars model uses an optical flow estimation technique to estimate the motion vectors in each frame of the video sequence. The counter in the upper left corner of the Results window tracks the number of cars in the region of interest. Click on image to see enlarged view.

Key Features

• Models and simulates real-time video and imaging systems in floating-point, integer, and fixed-point data types of arbitrary word length
• Integrates with Real-Time Workshop to automatically generate embeddable ANSI/ISO C code
• Imports multimedia file I/O and displays the status of video streams during simulation and post-simulation
• Creates and deploys 2-D filters, transforms, and geometric transformation primitives
• Provides standard color video and image conversion techniques, including color space conversion and chroma resampling
• Includes video and image analysis and enhancement algorithms, such as edge detection, thresholding, morphology, statistics, compositing, optical flow, and deinterlacing