计算机与数字工程2019，Vol.47Issue(10)：2396-2401,6.DOI:10.3969/j.issn.1672-9722.2019.10.004
Harris算法和Susan算法的实现及分析∗
Implementation and Analysis of Harris Algorithm and Susan Algorithm
摘要
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.关键词
图像处理/角点检测/Harris算法/Susan算法Key words
image processing/corner detection/Harris algorithm/Susan algorithm分类
信息技术与安全科学引用本文复制引用
崔乐,李春,李英..Harris算法和Susan算法的实现及分析∗[J].计算机与数字工程,2019,47(10):2396-2401,6.基金项目
国家自然基金项目(编号:51202177) （编号:51202177）
2013年校级"专业综合改革试点"项目资助. （）
