Color image segmentation based on the ant colony algorithm

Image segmentation is an image processing technology, which decomposes the image into several regions with their own characteristic for the sake of extracting useful target, and it is a key step from the image processing to image analysis. This paper mainly implements a system about applying ant colony algorithm to image segmentation, which is based on the aspects of the discreteness of digital image and the fuzzy clustering ability of ant colony algorithm. There are mainly three contents in the algorithm. The first part is to extract the features of an image including the RGB values, the gradient, and the neighborhood. The second part is to set the clustering center with the method of a combination of statistics and artificial selection. And the third part is to apply the ant colony algorithm to segment an color image. Experimental results show that there is a good effect in the color image segmentation.