New Image Segmentation Methods Based on Regionally Minimal Cost Watershed Transform

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Acta Photonica Sinica, Volume. 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]12 |Show fewer author(s)

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References(4)

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

[6] [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] [7] Beucher S. The Watershed Transformation Applied To Image Segmentation. France

[8] [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

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[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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