Hu Invariant Moments for Shape-Based Image Retrieval

This document presents a highly practical program known as "Shape-Based Image Retrieval." The implementation utilizes Hu invariant moments - a set of seven mathematical moments derived from regular moments that remain unchanged under image translation, scaling, and rotation. This technique enables rapid search and matching within image databases by extracting rotation, scale, and translation invariant features from shapes. The algorithm computes central moments from preprocessed binary images, normalizes them for scale invariance, then derives the seven Hu moments that serve as robust shape descriptors. Key functions typically include image preprocessing (binarization, noise removal), moment calculation, feature vector generation, and similarity measurement using Euclidean distance or other metrics. This program offers great convenience across various application scenarios including medical imaging, industrial inspection, and content-based image retrieval systems. If you're interested in image retrieval techniques, we encourage you to try this implementation - you'll find it remarkably effective! Feel free to download and experience the capabilities firsthand.