Application of Global Fuzzy C-Means (GFCM) Clustering Algorithm in Color Transfer

This paper proposes a color transfer approach based on global fuzzy C-Means (GFCM) clustering algorithm. GFCM algorithm is adopted to locate the matching areas between the images in lalphabeta space and to prevent the clustering processing from falling into the local optimal solution. The experiment shows that comparing to the traditional FCM method; GFCM method can obtain a better clustering result in a shorter time and achieve more natural and smoother visual effects.