Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (11): 173-175.DOI: 10.3778/j.issn.1002-8331.2010.11.053

• 图形、图像、模式识别 • Previous Articles     Next Articles

Improved Harris-based corner detection algorithm

GONG Ping,LIU Xiang-bin,ZHOU Peng   

  1. Institute of Image Recognition & Computer Vision,Hunan Normal University,Changsha 410081,China
  • Received:2008-09-19 Revised:2008-12-03 Online:2010-04-11 Published:2010-04-11
  • Contact: GONG Ping

一种改进的Harris角点检测算法

龚 平,刘相滨,周 鹏   

  1. 湖南师范大学 图像识别与计算机视觉研究所,长沙 410081
  • 通讯作者: 龚 平

Abstract: Improving the precision of corner detection can get higher precision of image registration in image mosaics.An improved Harris-based corner detection algorithm is presented in the paper.It makes curve fitting to the RHarris values of all pixels in every line on x-direction and every column on y-direction of the image respectively based on the Harris algorithm.And then,the curve is analyzed.When the RHarris value of a certain pixel is at the wave peak position on both x and y direction,it is detected as a corner.The experiments show that this method can avoid corners redundancies or loss brought by uncorrected threshold selection effectively and improve the precision of corners detection.

Key words: Harris operator, corner detection, curve fitting, degree of freedom

摘要: 图像拼接中,提高角点检测的精确度可以提高配准的精度。在Harris算法的基础上,提出了一种改进的角点检测算法,算法首先分别对图像中每行、每列上所有像素点的Rharris进行X、Y方向的曲线拟合,然后对拟合后的曲线进行分析,若某个像素点的Rharris值在两个方向上都处于“波峰”位置,则将该像素点检测为角点。实验结果表明该算法可以避免阈值的选择,有效地克服了阈值选择不当造成的角点冗余或丢失,提高了角点检测的精度。

关键词: Harris算子, 角点检测, 曲线拟合, 自由度

CLC Number: