Computer Vision System Toolbox

System Design and Implementation

Computer Vision System Toolbox supports the creation of system-level test benches, fixed-point modeling, and code generation within both MATLAB and Simulink. This support lets you integrate algorithm development with rapid prototyping, implementation, and verification workflows.

Fixed-Point Modeling

Many real-time systems use hardware that requires fixed-point representation of your algorithm. Computer Vision System Toolbox supports fixed-point modeling in most blocks and System objects, with dialog boxes and object properties that help you with configuration.

System toolbox support for fixed point includes:

• Word sizes from 1 to 128 bits
• Arbitrary binary-point placement
• Overflow handling methods (wrap or saturation)
• Rounding methods, including ceiling, convergent, floor, nearest, round, simplest, and zero

Code Generation Support

Most System objects, functions, and blocks in Computer Vision System Toolbox can generate ANSI/ISO C code using MATLAB Coder™, Simulink Coder™, or Embedded Coder™. You can select optimizations for specific processor architectures and integrate legacy C code with the generated code to leverage existing intellectual property. You can generate C code for both floating-point and fixed-point data types.

Simulink model designed to create code for a specific hardware target. This model generates C code for a video stabilization system and embeds the algorithm into a digital signal processor (DSP).

Image Processing Primitives

Computer Vision System Toolbox includes image processing primitives that support fixed-point data types and C code generation. These System objects and Simulink blocks include:

• 2D spatial and frequency filtering
• Image pre- and postprocessing algorithms
• Morphological operators
• Geometric transformations
• Color space conversions