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作者:

Zhou, Xiaolin (Zhou, Xiaolin.) | Sun, Guangmin (Sun, Guangmin.) (学者:孙光民) | Zhao, Dequn (Zhao, Dequn.) | Wang, Zhimeng (Wang, Zhimeng.) | Gao, Li (Gao, Li.) | Wang, Xiaomeng (Wang, Xiaomeng.) | Jin, Yufeng (Jin, Yufeng.)

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CPCI-S EI Scopus

摘要:

An improved image enhancement algorithm based on genetic algorithm has been presented and applied for transmission line image processing in this paper, in which fuzziness is served as the optimization method of the image enhancement procedure. Because the complexity and uncertainty of the image itself, fuzzy theory has been used in the image processing. In this process, the parameters of the transformation function are found by the genetic algorithm. Thus, a new kind of image enhancement method is proposed by combining fuzzy theory with the genetic algorithm. Finally, compared with the traditional image enhancement methods, the method presented in this paper is better in performance.

关键词:

fuzziness genetic algorithm image enhancement image processing

作者机构:

  • [ 1 ] [Zhou, Xiaolin]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Sun, Guangmin]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhao, Dequn]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Wang, Zhimeng]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Gao, Li]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Wang, Xiaomeng]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 7 ] [Jin, Yufeng]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • [Zhou, Xiaolin]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China

电子邮件地址:

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来源 :

2013 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2013)

年份: 2013

页码: 223-226

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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