Extraction of Color Features for Image Retrieval Based on MATLAB

This paper presents a MATLAB-based approach for extracting color features to facilitate image retrieval. The methodology involves processing images to extract their color characteristics, which are subsequently utilized for efficient image searching and classification. Key implementation aspects include employing mathematical algorithms and computer vision techniques, such as color histogram computation and color moment analysis, to quantify color distribution patterns within images. These techniques enable systematic characterization of image color properties, allowing for the extraction of discriminative features that capture essential color information. Through this approach, images can be more accurately identified and categorized, thereby enhancing both the precision and efficiency of image retrieval systems. The implementation typically involves MATLAB functions like rgb2hsv for color space conversion, imhist for histogram generation, and custom algorithms for feature vector computation.