Image segmentation based on improved Ant-Tree algorithm

Image segmentation can be seen as the process of clustering the pixels with different characteristics.Considering the gray value,gratitude and neighborhood of the pixels synthetically,the Ant-Tree algorithm was introduced into image segmentation.As the resulting tree of Ant-Tree algorithm contains redundant information,an improved tree model was proposed in this paper.Besides,in order to optimize the process of clustering,a new initialization method was presented,and the method of K-means was also employed to modify the clustering center dynamically.Experiments and comparisons show that the Ant-Tree based clustering algorithm is an effective and efficient approach in image segmentation.