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基于改进Harris算法的角点检测
引用本文:房超,王小鹏,牛云鹏,王超.基于改进Harris算法的角点检测[J].计算机与数字工程,2011,39(5):142-144.
作者姓名:房超  王小鹏  牛云鹏  王超
作者单位:兰州交通大学电子与信息工程学院,兰州,730070
摘    要:提出了一种改进的Harris角点检测方法.该方法在Harris角点检测求得角点响应函数后,利用双掩膜来定义进行非极大值抑制的局部范围,结合K均值聚类方法进行非极大值抑制,若像素点的角点响应函数值满足预设角点判定条件,则将该像素点定义为角点.实验结果表明,该方法无需进行阈值选择,提高了角点检测精度.

关 键 词:Harris角点检测  特征提取  K均值聚类

Corner Detection Based on An Improved Harris Algorithm
Fang Chao,Wang Xiaopeng,Niu Yunpeng,Wang Chao.Corner Detection Based on An Improved Harris Algorithm[J].Computer and Digital Engineering,2011,39(5):142-144.
Authors:Fang Chao  Wang Xiaopeng  Niu Yunpeng  Wang Chao
Affiliation:Fang Chao Wang Xiaopeng Niu Yunpeng Wang Chao(School of Electronic & Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070)
Abstract:An improved harris-based corner detection method is presented in the paper.Firstly,the corner response function of the Harris corner detection should be obtained.Secondly,the two-masks are defined the scope of non-maxima suppression and the K means algorithm is used to start on the non-maxima suppression.Thirdly,if the value of the pixel corner response function is agree with the preset conditions,the pixel is defined as the corner.The experiments show that this method does not require the threshold selection and improve the precision of corner detection.
Keywords:Harris corner detection  feature extraction  K means
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