International Conference on Software Technology and Engineering (ICSTE 2012)
54 Image Retrieval Based on Multiple Features
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This paper focuses on the issue of texture and color space features extractions. The algorithm for an effective image retrieval scheme to retrieve images is presented. We propose a combined features scheme which using color and texture features and address the unique algorithm to extract the color pixel features by the HSV color space and the texture features of Gabor filters. .The proposed scheme transfers each image to a quantized color code using the regulations of the properties in compliance with HSV space model and then employing the quantized color code along with the texture feature of Gabor filters to compare the images of database. Experimental results are shown that both the image indexing and retrieving are better than the conventional retrieval methods.