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- W2367876026 abstract "Fuzzy Markov Random Field(FMRF) decreased the dependency on the gray scale in the MRF image segmentation by using the belief function.However the strict criterions of cliques and borders in FMRF were hardly accorded in many neighborhoods,the segmentation results had many mistakes in the borders of regions and the relative noise.This paper presents an improved FMRF segmentation method based on the pairwise FMRF and introduced the fuzzy similarity of cliques and borders which could distinguish the energy contributions by the different cliques or borders that were stained by noise.The improved FMRF was more sensitive than others FMRF and had the strong ability to restrain the noise and recognize the borders.Finally the experiments demonstrate that the improved FMRF algorithm is efficient to segment SAR images." @default.
- W2367876026 created "2016-06-24" @default.
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- W2367876026 date "2008-01-01" @default.
- W2367876026 modified "2023-09-24" @default.
- W2367876026 title "SAR Image Segmentation Based on Improved Fuzzy Markov Random Field" @default.
- W2367876026 hasPublicationYear "2008" @default.
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