A Review of Corner Detection Algorithms Based on Image Contour

Abstract

Corner detection is an important basic research content in the fields of image processing and computer vision. Corner detection algorithm based on image contour is widely used in image registration, target recognition and shape analysis. In this paper, the existing corner detection algorithms based on contour are classified in detail, the main ideas of the algorithms are elaborated, the advantages and disadvantages of each algorithm are summarized, and the existing problems and further research directions are pointed out. It is expected to provide reference for the research of corner detection based on image contour.