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基于SUSAN算法的分层快速角点检测
引用本文:邵泽明,朱剑英,王化明.基于SUSAN算法的分层快速角点检测[J].华南理工大学学报(自然科学版),2006,34(7):65-68.
作者姓名:邵泽明  朱剑英  王化明
作者单位:南京航空航天大学,机电学院,江苏,南京,210016
摘    要:分析了SUSAN算法在角点检测中运算速度较慢的原因,并提出基于SUSAN算法的分层快速角点检测算法、该算法根据图像中像素周围图像灰度的相似性和角点的特性,引入提升小波变换理论,采用由粗到细的分层策略,首先对图像进行提升小波变换,找到角点的粗略位置,再用SUSAN算法进行精细查找,准确定位角点.实验结果表明,该算法可较大幅度地提高运算速度,节省运算时间、

关 键 词:SUSAN算法  角点检测  分层  提升小波
文章编号:1000-565X(2006)07-0065-04
收稿时间:2005-10-17
修稿时间:2005年10月17

Hierarchical Fast Corner Detection Based on SUSAN Algorithm
Shao Ze-ming,Zhu Jian-ying,Wang Hua-ming.Hierarchical Fast Corner Detection Based on SUSAN Algorithm[J].Journal of South China University of Technology(Natural Science Edition),2006,34(7):65-68.
Authors:Shao Ze-ming  Zhu Jian-ying  Wang Hua-ming
Institution:College of Mechanical and Electrical Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China
Abstract:The reason for the low speed of SUSAN algorithm in comer detection is analyzed, and a hierarchical fast comer detection algorithm based on SUSAN algorithm is proposed. According to the gray similarity around pixels and the comer properties in an image, the theory of lifting wavelet transform and the coarse-to-fine hierarchical strategy are adopted to process the image, with the aim of finding the coarse positions of comers. Then, the comers are finely searched and precisely located by using SUSAN algorithm. Experimental results show that the proposed algorithm runs fast and saves much runtime.
Keywords:SUSAN algorithm  comer detection  hierarchy  lifting wavelet
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