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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 4, APRIL 2016

Color, Shape and Texture feature extraction for Content Based Image Retrieval System: A Study

Miss. Dhanashree S. Kalel, Miss. Pooja M. Pisal, Mr. Ramdas P. Bagawade

DOI: 10.17148/IJARCCE.2016.5477

Abstract: Content based image retrieval system is the most interested topic for researchers in these the three visual features are considered as color, shape and texture, these terms are refers as content in a content based image retrieval system. Although the visual features are not give accurate result but colour, shape and texture are used because they are easier to assimilate into mathematical calculation. Color, shape and texture are most widely used contents for content based image retrieval system. The goal of content based image retrieval system is that to retrieve query image from large database. Color shape and texture extracted feature for given query image and measure the similarity from database image and retrieve the similar images as a query image extraction features.



Keywords: Content Based Image Retrieval System.

How to Cite:

[1] Miss. Dhanashree S. Kalel, Miss. Pooja M. Pisal, Mr. Ramdas P. Bagawade, “Color, Shape and Texture feature extraction for Content Based Image Retrieval System: A Study,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5477