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A novel multithresholding algorithm for color image segmentation is presented here using the concept of A-IFS histon obtained from Atanassov's Intuitionistic Fuzzy Set (A-IFS) representation of the image. A-IFS histon, an encrustation of the histogram, consists of the pixels that belong to the set of similar color pixels. In a rough set theoretic sense, A-IFS histon and the histogram can be correlated to upper and lower approximations, respectively. A multithresholding algorithm, using roughness index, is then employed to get optimum threshold values for color image segmentation. The qualitative and quantitative comparison of the proposed method against the histogram based and the conventional histon-based segmentations proves its superiority.