Acta Photonica Sinica, Volume. 40, Issue 10, 1560(2011)

A Weighted Hausdorff Distance Algorithm Based on Multi-scale Edge Measure Fusion

QU Sheng-jie*... PAN Quan, CHENG Yong-mei, ZHAO Chun-hui and LING Zhi-gang |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less

    The general edge weighted Hausdorff distance has limited effects on improving the noise robustness, because single-scale edge detection operator itself is sensitive to noise which lesds to little difference between the real and false edge. A novel weighted Hausdorff distance algorithm was proposed based on multi-scale edge measure fusion (EFWHD). Multi-scale edge measure was extracted and then evidence theory was brought in. The basic belief assignment of multi-scale edge measure was constructed by a new method of bidirectional exponent and then fused by Conflict-Redistribution DSmT. To distinguish the real edge and high-frequency noise furtherly, the general weighted hausdorff distance formula was modified and the new formula was proposed which can use the fused edge measure more effectively. Simulation with both optical and SAR images shows that the edge detection method of this paper suppresses noise effectively, meanwhile preserving rich details and the contrast tests are processed to verify the efficiency of improving noise robustness.

    Tools

    Get Citation

    Copy Citation Text

    QU Sheng-jie, PAN Quan, CHENG Yong-mei, ZHAO Chun-hui, LING Zhi-gang. A Weighted Hausdorff Distance Algorithm Based on Multi-scale Edge Measure Fusion[J]. Acta Photonica Sinica, 2011, 40(10): 1560

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Apr. 12, 2011

    Accepted: --

    Published Online: Nov. 9, 2011

    The Author Email: Sheng-jie QU (qushengjie@163.com)

    DOI:10.3788/gzxb20114010.1560

    Topics