MATLAB Code Implementation of Gabor Filter for Image Enhancement

This document provides MATLAB source code for implementing Gabor filters designed for image enhancement applications. Gabor filters are widely used in computer vision and image processing to analyze image characteristics across different frequencies and orientations. The implementation includes functions for generating Gabor filter banks with customizable parameters such as wavelength (lambda), orientation (theta), phase offset, and bandwidth. The code demonstrates how to apply these filters to enhance texture patterns and edge information in images through frequency-domain convolution operations. Key MATLAB functions utilized in this implementation include meshgrid for spatial coordinate generation, complex exponential functions for filter kernel creation, and imfilter for applying the filters to input images. This source code serves as both an educational tool for understanding Gabor filter mechanics and a practical solution for various image enhancement tasks, including texture analysis, edge detection, and orientation-specific feature extraction.