An Improved Corner Detection Method Based on Harris
Qiaosheng Feng · Computer Technology and Development · 2009
By the study of the Harris corner detection algorithm,while some images' corners are extracted,there exists the following problems: extracting false corners,the information of the corners is missing,the positioning of the corners offsets.And also not easy to set up the threshold in non-maximal inhibition.Presents to set up a dual threshold method,one is relatively large,and the other is relatively small when perform the non-maximal inhibition,so get the corners information of different thresholds in the same image,through comparing the corners information,can better solve the corners information missing,location offsetting and eliminate some false corners,and then using the idea of the SUSAN to eliminate the leaving false corners.By comparing the results show that the algorithm to extract corners very effective,and better than the Harris algorithm in the performance of corner detection.