Title :
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
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;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
DOI :
10.1109/IIH-MSP.2013.64