[1]李鹏程,曾毓敏,张梦.一种改进的Harris角点检测算法[J].南京师大学报(自然科学版),2014,37(02):49.
　Li Pengcheng,Zeng Yumin,Zhang Meng.An Improved Harris Corner Detection[J].Journal of Nanjing Normal University(Natural Science Edition),2014,37(02):49.
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一种改进的Harris角点检测算法()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第37卷
期数:
2014年02期
页码:
49
栏目:
物理学
出版日期:
2014-06-30

文章信息/Info

Title:
An Improved Harris Corner Detection
作者:
李鹏程; 曾毓敏; 张梦
南京师范大学物理科学与技术学院,江苏南京210023
Author(s):
Li Pengcheng; Zeng Yumin; Zhang Meng
School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China
关键词:
Harris; 角点; 非极大值抑制; 图像旋转
Keywords:
Harris; corner; non-maxima suppression; image rotation
分类号:
TP391. 41
文献标志码:
A
摘要:
Harris 角点检测算法是一种经典算法,但对于大尺度图像,误检现象比较严重,并且耗时过长. 本文提出一种新的检测算法,通过对圆形区域进行非极大值抑制,能够明显地降低角点检测时间,并且能够有效地减少误检. 同时,在不改变任何参数的情况下,对于图像旋转,能够明显地减小提取的差异. 通过实验对比,本算法简单方便,提取角点也非常有效,相对于传统Harris 算法具有更好的角点检测性能.
Abstract:
Harris corner detection algorithm is a classical algorithm,but it makes more serious problems and wastes more time in the large scale image. This article will put forward a new detection algorithm which can reduce the check time and lower the false corners through making non鄄maxima suppression within the circular region. At the same time,without changing any parameters,for image rotation,the new algorithm can significantly reduce the differences in extraction as to the image rotation. Experimental results confirm the validity of the new method and show that the new method greatly improves image corner detection performance with higher accuracy compared with the traditional algorithm.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2013-04-23.
基金项目:江苏省自然科学基金(BK2010546).
通讯联系人:曾毓敏,博士,教授,研究方向:语音信号处理和数字图像处理.E-mail:zengyumin@njnu.edu.cn
更新日期/Last Update: 2014-06-30