A Modified Hausdorff Distance Using Edge Gradient for Robust Object Matching

摘要：

Conventional object matching algorithms based on Hausdorff distance mostly use edge position information to compute distances. In this paper we represent an edge point using its position and the strength of its gradient to define a 3D distance function. We propose a modified Hausdorff distance based on this 3D distance function, and investigate its application in object matching problems. Finally, experimental comparisons are performed with conventional methods. At this stage, we tested different methods on the images with different levels of noise. Their sensitivities to geometric distortion are also evaluated against image rotation and scale change. Experimental results show that the proposed algorithm is more robust and reliable.

关键词： Hausdorff distance Distance function Distance transform Object matching Edge gradient

作者: Zhi-Qiang Zhou Bo Wang

作者单位: Department of Automatic Control, Beijing Institute of Technology Beijing 100081, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 250-254

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）