Image Processing

R2026b
Generate code and deploy image processing applications

Generate C/C++ code from image processing and computer vision algorithms for integration into production systems, embedded platforms, and high-throughput pipelines. These examples demonstrate how to compile image enhancement, filtering, segmentation, and analysis routines into deployable code, including techniques for accelerating pixel-intensive computations through parallelism.

Featured Examples

Generate Code for Sobel Edge Detection That Uses Half-Precision Data Type

Generate Code for Sobel Edge Detection That Uses Half-Precision Data Type

Generate a standalone C++ library that performs Sobel edge detection of images by using half-precision floating point numbers.

Using PARFOR to Speed Up an Image Contrast Enhancement Algorithm

Using PARFOR to Speed Up an Image Contrast Enhancement Algorithm

Generate a standalone C library from MATLAB® code that applies a simple histogram equalization function to improve image contrast.

Improve Performance of Edge Detection Algorithm Using Automatic Parallelization

Improve Performance of Edge Detection Algorithm Using Automatic Parallelization

Generate a standalone C library from MATLAB code that applies an edge detection filter on a 2D image using automatic parallelization.

Compare Performance of Generated C++ Code and MATLAB Code for Fog Rectification

Compare Performance of Generated C++ Code and MATLAB Code for Fog Rectification

Generate C++ code and run it side-by-side with MATLAB code.