摘要
针对拐点处与非拐点处的弯曲度值差别小的问题,文中提出了一种基于双重弯曲度积的图像拐点检测算法,通过第一重弯曲度与第二重弯曲度的乘积扩大拐点处与非拐点处的弯曲度值的差别,并对数字图像进行拐点检测实验.结果表明,该算法不仅简单有效,而且具有较高的稳定性和准确性,能够解决实际的图像拐点检测问题.
As the difference in bending degree between comer points and non-corner points is not large enough for image detection, an algorithm of image comer detection based on the product of two bending degrees is proposed. The proposed algorithm enlarges the differences in bending degree by multiplying the first bending degree and the second bending degree. Then, the comer detection for digital images is conducted. Experimental results show that the proposed algorithm is simple and effective, and that it helps to detect image comers with good stability and high precision.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第2期132-136,148,共6页
Journal of South China University of Technology(Natural Science Edition)
基金
粤港关键领域重点突破招标项目(20071684)
广东省工业攻关项目(2005B10201003)
关键词
拐点检测
弯曲度
图像拐点
曲率
corner detection
bending degree
image corner
curvature
