Color Image Segmentation using FCM Clustering Technique in RGB, L*a*b, HSV, YIQ Color spaces
نویسندگان
چکیده
Image segmentation is the important task for image analysis and understanding it. The segmentation of color image is challenging task in the image analysis process. Segmentation of color images gives more information than gray scale image. This paper performs segmentation of color image in different color spaces, as segmentation of RGB color image not always gives better segmentation results also not more suitable in image analysis and understanding. In this paper the color image is converted into L*a*b, HSV, YIQ color spaces for segmentation. Fuzzy c-means (FCM) clustering is used for the segmentation of color images. FCM clustering gives good results for color image segmentation as it extracts more information from color images. Analysis of the segmented results in RGB, L*a*b, HSV, YIQ color spaces are given in this paper.
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