Color-Based Image Retrieval System

This is a straightforward color-based image retrieval system developed during spare time. The system performs image retrieval by analyzing color characteristics of images, typically implementing color histogram comparison algorithms or color moment calculations for feature extraction. It enables users to quickly locate desired images through either specific color value inputs or color sample selections, likely utilizing color space conversion methods (RGB to HSV/HSL) for better color perception alignment. This system finds applications across multiple domains including art, design, and advertising industries. Its simplicity ensures ease of use and comprehension, making it accessible even to non-technical users. Key functions may include color quantization for reduced computational complexity and similarity measurement algorithms like Euclidean distance or cosine similarity for matching accuracy. By employing this image retrieval system, users can significantly save time and effort while enhancing work efficiency and creative productivity through streamlined image search capabilities.