Image Retrieval Using Color Cumulative Histogram

Image retrieval using color cumulative histogram is a widely adopted method that enables users to search images based on color characteristics. The implementation involves calculating color histograms by accumulating color values for each pixel in the image. This process typically utilizes MATLAB's image processing toolbox functions like imhist() or rgb2hsv() for color space conversion. The algorithm works by first converting images to appropriate color spaces (RGB/HSV), then computing histograms with specified bin sizes. For retrieval, the system compares the query image's histogram with database images using similarity measures such as Euclidean distance or histogram intersection. The MATLAB implementation may include key functions like histogram calculation, distance computation, and similarity ranking. This method serves as an excellent learning resource for beginners, demonstrating fundamental image processing techniques including color feature extraction, histogram matching, and similarity-based retrieval algorithms.