AN IMAGE RETRIEVAL FRAMEWORK: A REVIEW
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Abstract
Content-Based Image Retrieval is a process to retrieve the similar images from the huge set of image database corresponding the query image. In CBIR Visual features of the input image are extracted and on the basis of similarity matching algorithm, the required precise image are extracted. To understand the evaluation and evolution of CBIR system various research were studied and various research is going on this way also. In this paper, we have discussed some of the popular pixel level feature extraction techniques for Content-Based Image Retrieval and we also present here about the performance of each technique.
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