A Comprehensive Overview of Image Mining

Image mining, an interdisciplinary field at the intersection of computer vision, data mining, and machine learning, encompasses techniques aimed at extracting meaningful information and knowledge from large collections of images.This review paper provides a comprehensive overview of recent advancements, methodologies, challenges, and applications in image mining.It explores fundamental concepts such as preprocessing, feature extraction, representation, classification, and association rule mining.Furthermore, it discusses the diverse applications of image mining across domains including healthcare, surveillance, multimedia analysis, remote sensing, and geospatial imaging.By elucidating current trends, addressing challenges, and highlighting future research directions, this review aims to provide a valuable resource for researchers, practitioners, and enthusiasts interested in exploring the vast landscape of image mining.