Content Based Image Retrieval: Extract Color and Texture Features Separately |
Author(s): |
| Divya Modi , Sankalchand Patel Collage of engineering; Rahul G. Patel, Sankalchand Patel College of Engineering, Visnagar, Gujarat, India |
Keywords: |
| CBIR, Color Histogram, Wavelet Transform, Euclidean Distance |
Abstract |
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Content-based image retrieval technique is an active research issue that had been famous from 1990s.With dramatic rise in usage of image data demands accurate results with lower computational time. In this paper CBIR extracts the color and texture features separately. By using HSV (Hue, Saturation, and Value) color space, first quantifying the color space in non-equal intervals, and constructing one dimension feature vector. Representing the color feature with histogram and similarity measures between query images. Texture feature is extracted by using wavelet transform technique. Euclidean distance classifier has been used for the similarity/distance measures. |
Other Details |
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Paper ID: IJSRDV3I30702 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3011-3014 |
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