Gabor Filter for Extracting Image Texture Features
Gabor filter is a classic approach for extracting image texture features. I welcome researchers studying this algorithm to communicate with me for technical exchange and collaboration.
Explore MATLAB source code curated for "Gabor" with clean implementations, documentation, and examples.
Gabor filter is a classic approach for extracting image texture features. I welcome researchers studying this algorithm to communicate with me for technical exchange and collaboration.
Implementation of six edge detection operators (Gabor, Laplacian, Prewitt, Robert, Sobel, Wallis) applied to three different image types for comparative evaluation. This key program from my graduation project demonstrates optimized implementation approaches for each operator with comprehensive performance analysis.
MATLAB code for face recognition using Gabor filters combined with PCA, achieving excellent recognition rates through advanced feature extraction and dimensionality reduction techniques.
A self-developed face recognition system utilizing GABOR filters, complete with detailed documentation and code implementation notes
A custom-implemented Gabor 2DPCA face recognition algorithm that extracts Gabor features and performs recognition using 2DPCA. Tested on the Yale face database with high accuracy and fast processing speed. The code allows direct recognition rate output by simply adjusting the number of training samples. Includes pre-loaded Yale database for immediate execution and result visualization - implements Gabor filter convolution, 2DPCA dimensionality reduction, and classification modules.