A New Color Information Entropy Retrieval Method for Pathological Cell Image

Abstract : For the distribution characteristics in a slice of pathological cell image, the system transforms them into the characteristic vector by quantization and clustering in HSV color model, it promotes the concerned isolated pixel color description into the color feature of its neighborhood region color histogram. By choosing appropriate neighborhood window size, it uses color information entropy method to gain efficient primary classification of gastric slice image and the similar retrieval results from the sample library images. Experiments show that this method has a better image classification and retrieval result.
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Communication dans un congrès
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-347 (Part IV), pp.30-38, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18369-0_4〉
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Xiangang Jiang, Qing Liang, Tao Shen. A New Color Information Entropy Retrieval Method for Pathological Cell Image. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-347 (Part IV), pp.30-38, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18369-0_4〉. 〈hal-01564855〉

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