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author:

Liu, Binghan (Liu, Binghan.) [1] (Scholars:刘秉瀚) | Guo, Mingshan (Guo, Mingshan.) [2] | Wang, Weizhi (Wang, Weizhi.) [3] (Scholars:王伟智)

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Abstract:

2-D maximum entropy algorithm is of quite good effect in image segmentation, but it requires long time on the complex calculation. Considering CGA's (Chaos Genetic Algorithm) ability to retain the species diversity and great astringency, a new 2-D maximum entropy method based on CGA was put forward. It has been proved that the new algorithm is of better capacity to search for the best, performs more steadily and results in better segmentation effect.

Keyword:

2-D maximum entropy chaos genetic algorithm image segmentation

Community:

  • [ 1 ] [Liu, Binghan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian Province, Peoples R China
  • [ 2 ] [Guo, Mingshan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian Province, Peoples R China
  • [ 3 ] [Wang, Weizhi]Fuzhou Univ, Automat Res Inst, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • 刘秉瀚

    [Liu, Binghan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian Province, Peoples R China

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Source :

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23

Year: 2008

Page: 3628-,

Language: English

Cited Count:

WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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