MATLAB Graphics and Image Processing Routines
MATLAB graphics and image processing routines with practical examples using MATLAB graphical functions and plotting implementations.
Explore MATLAB source code curated for "函数" with clean implementations, documentation, and examples.
MATLAB graphics and image processing routines with practical examples using MATLAB graphical functions and plotting implementations.
This Gray GM(1,1) model is implemented as a reusable MATLAB function containing comprehensive inline comments. The modular architecture allows easy adaptation to other gray system algorithms through parameter modifications and component replacements.
MATLAB Image Processing Toolbox contains extensive functions for image manipulation, serving as an essential handbook for image processing tasks with MATLAB. Includes implementation details for key algorithms and functions.
Implementation of a function to transform RGB color space values into HSV color space, including detailed algorithm explanation and code structure.
This function implements a pitch frequency detection algorithm with detailed technical specifications available in the MATLAB file comments. The algorithm has been successfully deployed in engineering projects and demonstrates significant practical value through robust performance in real-world applications.
A comprehensive speech processing toolbox containing nearly all essential programs and functions for handling speech signals, with detailed code-related implementations for various speech processing tasks.
Sub-pixel corner localization function code implementation, taking coarse pixel-level corner coordinates as input parameters and outputting precise sub-pixel level corner coordinates. This algorithm typically involves interpolation methods and gradient-based optimization techniques.
MATLAB implementation of genetic algorithm with function optimization example, featuring selection, crossover, and mutation operations
A spectral analysis plotting function within the HHT French algorithm implementation, featuring code-level insights for visualization techniques
Ready to use in MATLAB, these power spectrum plotting functions provide convenient signal analysis capabilities