Binarization of color images from an adaptation of possibilistic c-means algorithm
Salvatore Tabbone, Laurent Wendling · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · 2004
A color image binarization is presented in this paper. The iterative possibilistic c-means algorithm is adapted by adding a fuzzy entropy criterion to split the membership function into two clusters (background and object). Such an improvement allows to perform a threshold free color binarization. Experimental results show the promising aspect of our approach.