Edge Detection Based on Agent Searching and Region Correlation
基于自治体搜索和区域相关性的图像边沿检测算法

Image segmentation owns the important status in the structure of image engineering and is of considerable interest in many fields. The algorithm of edge detection based on the agent searching approach and the correlation of neighbor regions is proposed in the paper. There are four species of agents in the proposed algorithm. The four species of agents can respectively compare the correlation of gray level of neighbor regions with the correlation of geometrical features of neighbor regions at 0 degree, 45 degrees, 90 degrees and 135 degrees to judge whether the pixels lie in the edge of the object or not and finally accomplish edge detection. Experimental results of the proposed algorithm are satisfactory. In addition, there is the comparison of experimental results between the proposed algorithm and some algorithms of edge detection in the section of experimental results, such as Prewitt operator, Sobel operator and Canny operator. The comparison of experimental results demonstrates the proposed algorithm has good performance on some aspects.