[1] [1] RUCKLIDGE W J.Efficiently locating objects using the hausdorff distance［J］. Int J of Computer Vision, 1997,24(3):251-270.

[2] [2] HU Shuo,ZHU Ming,SONG Hua- jun, et al. Novel target tracking algorithm based on TMS320C6416［J］. Chinese Journal of Electron Devices,2006,29(2):416-419.

[3] [3] LIU Sheng-peng,FANG Yong. A contourlet domain image denoising method based on mathematical morphology［J］. Acta Photonica Sinica,2008,37(1):197-201.

[4] [4] HUTTENLOCHER D P,KLANDERMAN G,RUCKLIDGE W J. Comparing images using the Hausdorff distance［J］.IEEE Tran Pattern Analysis and Machine Intelligence,1993,15(9):850-863.

[5] [5] HUTTENLOCHER D P,RUCKLIDGE W J. A multi-resolution technique for comparing images using the Hausdorff distance［C］.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,New York,NY,USA:ieee,1993:705-706.

[6] [6] OLSON C F.Probabilistic formulation for Hausdorff matching［C］.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,Washington,DC,USA:IEEEComputerSociety,1998:150-156.

[7] [7] BAI Chang-bing,QI Chun,YANG Ying, et al. Fast detection of PCB mark using hausdorff matching［J］. Journal of Optoelectronics Laser,2006,17(4):495-501.