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- W2359968316 abstract "Image segmentation and object extraction are the key steps in image process.In this article we combine the fuzzy C-means algorithm with fuzzy measures and fuzzy integrals and apply the two algorithms to the medicinal pathological image segmentation.Classical fuzzy C-means algorithm calculates the similarity between pixels by Eulidean distance,now we use fuzzy measures and fuzzy integrals to express the distance between pixels,we can improve the veracity of calculation by this way because of the character of the fuzzy measures and fuzzy integrals.Results from both algorithms are compared and they show that the modified fuzzy C-means algorithm fits the pathological image segmentation better." @default.
- W2359968316 created "2016-06-24" @default.
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- W2359968316 date "2005-01-01" @default.
- W2359968316 modified "2023-09-24" @default.
- W2359968316 title "Fuzzy clustering algorithm used in the medical pathological image segmentation" @default.
- W2359968316 hasPublicationYear "2005" @default.
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