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- W2364240126 abstract "In order to obtain sea ice data from in situ video images,sea ice images were processed with image segmentation technology based on the Gaussian mixture model(GMM).Image segmentation of the Bohai sea ice with unsupervised clustering was realized by the expectation-maximization(EM) algorithm of GMM and minimum description length(MDL) criterion on the sea ice images for object extraction.The calculation procedures of sea ice image segmentation was described.The results indicate that GMM is effective in sea ice image segmentation and sea ice data extraction.It is concluded that sea ice image recognition,based on image segmentation,is an effective technology to process sea ice image for extraction of data on sea ice type and abundance." @default.
- W2364240126 created "2016-06-24" @default.
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- W2364240126 date "2011-01-01" @default.
- W2364240126 modified "2023-09-25" @default.
- W2364240126 title "Sea ice image segmentation with unsupervised clustering based on the Gaussian mixture model" @default.
- W2364240126 hasPublicationYear "2011" @default.
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