MATLAB Implementation for Color Feature Extraction

This document explores methodologies related to color feature extraction. As one of the fundamental characteristics in image processing, color feature extraction plays a critical role in low-level image analysis. The document includes MATLAB source files containing code that was collected and refined during my master's thesis research. The implementation covers key algorithms such as color histogram calculation, color moment extraction, and dominant color detection using MATLAB's Image Processing Toolbox functions like rgb2hsv for color space conversion and imhist for histogram analysis. These codes help users better understand and apply color feature extraction techniques while providing deeper insights into low-level image processing concepts. The implementation demonstrates practical approaches for handling different color spaces (RGB, HSV, Lab) and includes optimization techniques for efficient feature computation. We hope this documentation proves valuable to researchers and practitioners working in computer vision and image analysis.