Symbolic fusion of hue-chroma-intensity features for region segmentation

A method for color image segmentation processing is presented. This method is based upon several linguistic rules which built a symbolic cooperation between symbolic representation of hue, chroma and intensity features. This fuzzy segmentation is compared with a technique using a fuzzy C-means algorithm, and the influence of the choice of the rules is analyzed.

[1]  Sang Uk Lee,et al.  On the color image segmentation algorithm based on the thresholding and the fuzzy c-means techniques , 1990, Pattern Recognit..

[2]  Thierry Carron,et al.  Color edge detector using jointly hue, saturation and intensity , 1994, Proceedings of 1st International Conference on Image Processing.

[3]  N. Bourbakis,et al.  A fuzzy technique for image segmentation of color images , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[4]  T. Kanade,et al.  Color information for region segmentation , 1980 .