A Fuzzy Enhancement Method for Transmission Line Image Based on Genetic Algorithm

Author

Xiaolin Zhou ; Guangmin Sun ; Dequn Zhao ; Zhimeng Wang ; Li Gao ; Xiaomeng Wang ; Yufeng Jin

Author_Institution

Dept. of Electron. Eng., Beijing Univ. of Technol., Beijing, China

fYear

2013

fDate

16-18 Oct. 2013

Firstpage

223

Lastpage

226

Abstract

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.

Keywords

fuzzy set theory; genetic algorithms; image enhancement; transmission lines; fuzziness; fuzzy enhancement method; fuzzy theory; genetic algorithm; image complexity; image enhancement algorithm; image uncertainty; optimization method; transformation function parameters; transmission line image processing; Genetic algorithms; Genetics; Image enhancement; Power transmission lines; Sociology; Uncertainty; fuzziness; genetic algorithm; image enhancement; image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/IIH-MSP.2013.64

Filename

6846620