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- W2077677410 abstract "A grain boundary detection method based on partial differential equation(PDE) is proposed. The whole scheme is improved by introducing two PDE image processing techniques: PDE-based image filtering and segmentation. The noise in microscope image is suppressed with a edge-preserving filter: total variation flow. The second contribution is an extension of level set to segment color microphotograph, where multichannel information is used to identify grains. Experimental results on real thin section image of andalusite demonstrate the performance of the proposed method." @default.
- W2077677410 created "2016-06-24" @default.
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- W2077677410 date "2010-08-01" @default.
- W2077677410 modified "2023-09-26" @default.
- W2077677410 title "PDE-based grain boundary detection" @default.
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- W2077677410 doi "https://doi.org/10.1109/iita-grs.2010.5602492" @default.
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