Date of Publication :21st June 2018

Abstract: Content-based image retrieval (CBIR) is a technique used for retrieving similar images from the large collection of image database. CBIR basically responsible for extracting features of images. A ‘feature’ means anything that is localized, meaningful and detectable. Almost all the CBIR techniques start from the query by example i.e. one image. The system first extracts the feature of the query image, searches the database for images with similar features, and exhibits relevant images to the user in order of similarity to the query. In this, the content of the image is nothing but the features of the image like color, texture and shape etc. This paper presents review of different CBIR techniques which are helpful for finding relevant images for the query image

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