The improvement of SUSAN for image matching
面向影像匹配的SUSAN角点检测

On the basis of analyzing and comparing existing corner detection algorithms, SUSAN algorithm has been adopted and improved in this paper for corner detection and image marching for high-resolution images. Aiming at some problems existed in the traditional SUSAN algorithm such as over detection and edge sensitive for irregular texture image area, we proposed an improved algorithm. Firstly, the threshold of gray difference is calculated adaptively according to the relationship between local and global image contrast. Secondly, rectangular template is adapted to determine the possible limits of USAN region from the edge. Finally, the corners are detected based on above two steps. Experiments show that the corners location is detected more accurately with the improved algorithm, and the results are more reliable and less redundant with much higher speed in image marching.