A New Multispectral Images Color Segmentation Algorithm Based On Rough-Set Approach and Region Merging
نویسندگان
چکیده
The paper presents the color image segmentation based on rough-set approach has been proposed. The color image segmentation is one of the most challenging tasks particularly in the area of image analysis, computer vision, and pattern recognition. In this paper, the proposed algorithm based on roughness index to calculate the peaks and valleys values. Based on peak and valley values to achieve better segmentation, Experimental results shows the roughness index theory to achieve better color image segmentation results and shows the graphs of roughness measurement versus intensities and compare to histogram and histon techniques.
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