Image Retrieval System Based on Color Features with GUI Implementation

In this article, we explore an image retrieval system based on color features. The system's primary objective is to enable users to locate desired images more efficiently, eliminating dependence on filenames or other less accurate search methods. The implementation incorporates color histogram analysis and feature extraction algorithms to quantify and compare visual characteristics. To enhance accessibility and user experience, we have designed and developed a comprehensive graphical user interface (GUI) application. This interface facilitates visual interaction through image preview panels, color palette selectors, and similarity score displays. The GUI architecture employs event-driven programming to handle user inputs and dynamically update retrieval results. This visual approach transforms the image search process into an intuitive and engaging experience, making the system both practical and efficient for managing and searching image libraries. The core functionality includes color space conversion (RGB to HSV), feature vector calculation, and similarity measurement using distance metrics like Euclidean or Manhattan distance.