Implementation and Analysis of Harris Algorithm and Susan Algorithm
CUI Le
LI Chun
LI Ying
Abstract：Corners are image points that show a strong intensity change. This paper mainly studies the method of digital image feature detection and processed image by Matlab. By means of the use of Matlab,this article editing program had Harries algorithm and Susan algorithm. The results of image corners are obtained by Matlab,and the advantages and disadvantages of the two algo?rithms are analyzed. The Harris corner detection principle is related to the curvature characteristics of the angular point and au?to-correlation function. The auto-correlation function describes the degree of variation of the local image gray degree. Susan operator is a kind of method based on gray level for acquiring characteristic points,applying to the image edge and corner detection,which can eliminate the noise in the image,it has the characteristics of simple,effective,anti-noise ability and fast calculation.
Keywords：image processingcorner detectionHarris algorithmSusan algorithm
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2396-2401 )