A Color Clustering Algorithm for Cloth Image

Color clustering is fluently exploited for many applications, especially in the fields of computer graphics and image processing. After studying the methods of color clustering, a new scheme based on ant colony clustering algorithm applied in cloth images is proposed in the paper. According to the pick up-drop theory, an improved ant algorithm is applied to group colors into certain clusters in the RGB space. Experimental result shows that the algorithm proposed in this paper has the advantages of an excellent robustness, a less time consumption, a simple realization and fitting for cloth image.