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author:

Liu, BH (Liu, BH.) [1] (Scholars:刘秉瀚) | Wang, WZ (Wang, WZ.) [2] (Scholars:王伟智) | Zheng, ZY (Zheng, ZY.) [3] (Scholars:郑珍远)

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Abstract:

This paper analyses some texture features of necrosis area in pathological image of virus hepatitis. It presents an algorithm based on fuzzy theory to recognize necrosis area In this algorithm, the renewed standard of the fuzzy classification center V is based on position-dependent information of texture unit. Further, the algorithm effectually initiates fuzzy classification matrix U. It can decrease calculation and iteration frequency. The experiment results show high speed and high recognition rate of the algorithm.

Keyword:

fuzzy theory hepatitis pathological image texture ferture

Community:

  • [ 1 ] Fuzhou Univ, Fuzhou 350002, Peoples R China

Reprint 's Address:

  • 刘秉瀚

    [Liu, BH]Fuzhou Univ, Fuzhou 350002, Peoples R China

Email:

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Source :

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5

Year: 2000

Page: 1742-1746

Language: Chinese

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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