A Fuzzy Enhancement Method for Transmission Line Image Based on Genetic Algorithm
IIH-MSP '13 Proceedings of the 2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing（2013）
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.
MoreTranslated text
Key words
fuzzy enhancement method,fuzzy set theory,image complexity,transmission line image,image processing,fuzzy theory,transformation function parameters,image enhancement procedure,image uncertainty,transmission line image processing,fuzziness,transmission lines,new kind,genetic algorithm,genetic algorithms,image enhancement method,improved image enhancement algorithm,optimization method,traditional image enhancement method,image enhancement,image enhancement algorithm
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined