• Acta Photonica Sinica
  • Vol. 34, Issue 1, 142 (2005)
[in Chinese]1、2, [in Chinese]1, [in Chinese]1, [in Chinese]1、2, [in Chinese]1, [in Chinese]1, and [in Chinese]1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. New Image Segmentation Methods Based on Regionally Minimal Cost Watershed Transform[J]. Acta Photonica Sinica, 2005, 34(1): 142 Copy Citation Text show less
    References

    [5] Vincent L,Soille P. Watersheds in digital spaces:an efficient algorithm based on immersion simulations. IEEE Trans, 1991,13(6):583~598

    [6] Job B T M,Roerdink,Arnold Meijster. The watershed transform: definition, algorithms and parallelization strategies. IOS Press.Fundamental Information,2001,41:187~228

    [7] Beucher S. The Watershed Transformation Applied To Image Segmentation. France

    [8] Bieniek A,Moga A. An efficient watershed algorithm based on connected components.Pattern Recognition,2000,33:907~916

    CLP Journals

    [1] LIU Jia-hang, YANG Jian-feng, FANG Tao. Color Property Analysis of Remote Sensing Imagery[J]. Acta Photonica Sinica, 2009, 38(2): 441

    [2] FAN Wei, WU Wen-yu, HE Bin-fang. Wavelength Band Selection Method of Satellite Data for Underlying Surface Classification[J]. Acta Photonica Sinica, 2009, 38(9): 2381

    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. New Image Segmentation Methods Based on Regionally Minimal Cost Watershed Transform[J]. Acta Photonica Sinica, 2005, 34(1): 142
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