• Manoj Asaram Dhaygude
• Prof. Supriya Kinariwala

In this paper presents different techniques in content-based image retrieval system. Content Based Image Retrieval (CBIR) system is a very important research area in the field of computer vision and image processing. CBIR is used to solve the problem of searching a particular digital image in a large collection of image databases. This paper deal with the brief overview of the CBIR with the various technique to retrieve the relevant images based on the similarity measure among the images in database and also enlighten with the various performance measure technique to evaluate the efficiency of the CBIR system. Evaluation of retrieval performance is a crucial problem in content-based image retrieval (CBIR). Many different methods for measuring the performance of a system have been created and used by researchers. This article discusses the advantages and shortcomings of the performance measures currently used. Problems such as defining a common image database for performance comparisons and a means of getting relevance judgments (or ground truth) for queries are explained.

CBIR, Feature Extraction, Color, Shape, Texture, Edge.

"A Modified Features Selection Based Content-Based Image Retrieval With Enhanced Accuracy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.b833-b842, August-2022, Available :http://www.jetir.org/papers/JETIR2208197.pdf

"A Modified Features Selection Based Content-Based Image Retrieval With Enhanced Accuracy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppb833-b842, August-2022, Available at : http://www.jetir.org/papers/JETIR2208197.pdf