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In existing the segmentation of a color image is mostly depends on the features color , texture or on both color and texture but proposed method for color image segmentation is based on both color and texture with multi-class SVM (Support Vector Machine).For color feature extraction we used homogeneity model and for textural features we used PLD (Power Law Descriptor). With the help of SR-FCM (Soft Rough Fuzzy-C-Means) clustering. Membership functions based on the fuzzy set are facing the majordoi:10.35940/ijrte.b1114.0882s819 fatcat:cq46zk7zwrbidl3baplaelwskq