A Riview Paper on Content Based Image Retrieval Technique Using Color and Texture Feature
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2017 by IJETT Journal | ||
| Volume-43 Number-5 |
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| Year of Publication : 2017 | ||
| Authors : Nilima .R.Kharsan, Sagar.S.Badnerker |
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| DOI : 10.14445/22315381/IJETT-V43P246 |
Citation
Nilima .R.Kharsan, Sagar.S.Badnerker "A Riview Paper on Content Based Image Retrieval Technique Using Color and Texture Feature", International Journal of Engineering Trends and Technology (IJETT), V43(5),274-278 January 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
There is a great need for developing an efficient technique for finding the images. In order to find an image, image has to be represented with certain features. Color, texture and shape are three important visual features of an image. I will implement an efficient image retrieval technique which uses dynamic dominant color, texture and shape features of an image. As a first step, an image is uniformly divided into 8 coarse partitions. The centroid of each partition is selected as its dominant color after the above coarse partition. By using Gray Level Co-occurrence Matrix (GLCM), texture of an image is obtained. Color and texture features are normalized. Using Gradient Vector Flow fields, shape information is captured in terms of edge images computed. To record the shape features, invariant moments are then used. A robust feature set for image retrieval is provided by using the combination of the color and texture features of an image in conjunction with the shape features.
References
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Keywords
DCD ,CBIR,GLCM,GVFF.