Review Paper for Content based Image Retrieval Methods

The paper presents a review on numerous ways in which of content based image retrieval. Content based image retrieval may be a system by that numerous images are retrie- ved from an outsized database assortment. These databases are ready using numerous visual features like color, texture, shape and spatial layout that are extracted using completely -different techniques. As image database volume is increasing rapidly, researchers are probing for a much better robust mech -anism to retrieve images and to get more accurate results. Therefore the analysis focus has been shifted from low-level feature extraction algorithms to the high get more accurate results. Therefore the analysis focus has been shifted from low -level feature extraction algorithms to the high level visual feature extraction mechanism. To develop better content based image retrieval system, it is necessary to boost numerous processes concerned in retrieval like feature extraction, image segmentation, image decomposition and similarity matching techniques. During this paper we tend to discuss the basic aspects, visual features and techniques for quick and retrieval images from the database. In this paper, completely different well-known options for image retrieval are quantitatively com -pared and their correlation is analyzed. We compare the options for two different image retrieval tasks (color a clear and medical radiograph) and a transparent distinction in per-formance is determined, which can be used as a basis for an appropriate selection of features. In the medical field, images, and especially digital images are produced in ever increasing quantities and used for diagnostic sand therapy.