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A fast and efficient approach to color image segmentation and texture feature extraction is developed. In the proposed image segmentation algorithm, a new quantization technique for HSV color space is implemented to generate a color histogram and a gray histogram for K-Means clustering, which operates across different dimensions in HSV color space. Then a texture feature extraction method for content-based...
This paper describes a fast and efficient texture feature extraction method based on image segmentation in HSV color space, which is especially useful in resource-limited embedded systems. In this approach, a query image is first segmented based on its color feature, and the proposed technique is applied on the labeled image to efficiently extract texture feature. Compared with the feature extraction...
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