The Hardness Testing Based on a Novel Corner Detection Algorithm
Xueguang Chen · Journal of Changchun University of Science and Technology · 2011
The conventional corner detection algorithm can not exactly find the real corners of the object region of the hardness testing image,because there are much noise and impurities in the image and the edge of its object region is fuzzy and bent with a complicated shape.It is also difficult to extract the corner position by the line fitting or detection algorithm because of the complicated shape of its edge.In order to solve such corner detection problem of hardness im-age with complex background,a novel corner detection algorithm based on the gray difference of the rotation is pro-posed in this paper.Compared with the conventional algorithms,the proposed algorithm is more robust to the noises and impurities,and can detect the corners of the image in the complicated background.The contrast experimental re-sults show the effectiveness of the algorithm.