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.
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-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.
出处
《南京师大学报（自然科学版）》
CAS
CSCD
北大核心
2014年第2期49-54,共6页
Journal of Nanjing Normal University(Natural Science Edition)
基金
江苏省自然科学基金(BK2010546)
