Review Article Open Access

A SURVEY ON CONTENT BASED IMAGE RETRIEVAL USING BDIP, BVLC AND DCD

Abstract

Content based image retrieval is the task of retrieve the images from the large collection of database on the basis of their own visual content. This paper provides the survey of technical achievements in the research area of image retrieval, especially content based image retrieval (CBIR. Color and texture are commonly used in most of the CBIR system for finding similar images from the database to a given query image. In the implemented system color and texture are used as basic features to describe all the images. To extract color information, two histograms i.e. hue and saturation of the image are used. And to extract texture information image quantization and wavelet decomposition is applied to each image blocks. CBIR or Content Based Image Retrieval is the retrieval of images based on visual features such as colour and shape. IN this paper we survey on the color and texture feature. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. Do not use special characters, symbols, or math in your title or abstract. The authors must follow the instructions given in the document for the papers to be published. You can use this document as both an instruction set and as a template into which you can type your own text.

Kanchan saxena, vineet richaria, vijay trivedi

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