Image Processing
Image Processing Description Topics
- Image Acquisition, Import, and Export
- Image Processing, Analysis, and Visualization
- Algorithm Development and Application Deployment
- Video and Image Processing System Design
- Geospatial Computing
- Medical Imaging
Video and Image Processing System Design
Simulink enables faster, more cost-effective development of video and image processing systems. Simulink replaces error-prone, manual methods of coding target-specific hardware and software from paper specification documents by using executable models. Dynamic simulation eliminates the need for physical prototypes. Automatic code generation speeds deployment. And integrated testing helps you correct errors early and improve quality.
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.
Simulink and the Video and Image Processing Blockset enable you to run fast simulations for real-time embedded video, vision, and imaging systems. You can create executable specifications for communicating the system to downstream design teams and to provide a golden reference for verification throughout the design process.
Learn more about Model-Based Design
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Model illustrating a motion stabilization technique based on the SAD method. The model applies the SAD technique to remove unwanted translational camera motions and generate a stabilized video. |
Blog: Steve on Image Processing
Read the latest entries on this popular Image Processing blog. Steve Eddins manages the Image and Geospatial development team. He writes about image processing concepts, algorithm implementations, and MATLAB.
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