Paper Key : IRJ************834
Author: Sachin Narayan Joshi ,Sapna Ramesh Tayde ,Vidya Sharad Talole
Date Published: 07 Jan 2025
Abstract
Content-Based Image Retrieval (CBIR) systems are designed to fetch images from a repository or database that are visually comparable to a given query image. CBIR is crucial in numerous domains including medical diagnosis, crime prevention, online searches, and architecture. The process of CBIR mainly involves two phases: the first involves feature extraction, and the second focuses on similarity matching. There are various approaches to enhance the efficiency and effectiveness of CBIR, including segmentation, relevance feedback, query expansion, and fusion techniques
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