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.