A modified Hausdorff distance using edge gradient for robust object matching

Zhi Qiang Zhou*, Bo Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2009 International Conference on Image Analysis and Signal Processing, IASP 2009
Pages250-254
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Image Analysis and Signal Processing, IASP 2009 - Taizhou, China
Duration: 11 Apr 200912 Apr 2009

Publication series

NameProceedings of 2009 International Conference on Image Analysis and Signal Processing, IASP 2009

Conference

Conference2009 International Conference on Image Analysis and Signal Processing, IASP 2009
Country/TerritoryChina
CityTaizhou
Period11/04/0912/04/09

Keywords

  • Distance function
  • Distance transform
  • Edge gradient
  • Hausdorff distance
  • Object matching

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