A multi-color extraction method based on semantic color model
Xiao Feng Wang, Xin Ling Shi, Jian Hua Chen, Jun Hua Zhang, Hua Wei Ding, Bao Lei Li · 2011
In order to accurately extract various color regions in a color image, a multi-color extraction method based on the semantic color is put forward in this paper. By introducing semantic color and establishing semantic color model, the method can rationally solve the color extraction problem. This method makes use of fuzzy clustering algorithm which distributes pixels of an image into each color area, and achieves the extraction of an object in a color image which is composed of multiple colors. Compared with the Fuzzy c-means (FCM) clustering segmentation algorithm, the experiment results demonstrate the effectiveness of the method. The multi-color extraction method can effectively solve the extraction of multiple colors in a color image with complicated features.