COMPARISON OF VARIOUS COLOR SPACES FOR IMAGE SEGMENTATION USING ROUGHFUZZY CLUSTERING TECHNIQUES

Fuzzy C Means and Rough set based Fuzzy C Means are used for different color spaces like CMYK, HSV, XYZ, RGB, YUV, Lab are considered to perform a comparative study on color image segmentation in this paper. For different color spaces, FCM and RFCM compared and efficient segmentation for color images is produced for proposed RFCM algorithm when compared with various clustering for the computational time like DB index, Rand index, Silhouette index and Jaccard index, improved performance and segmentation was shown in the proposed algorithm during the experimentations.