The adaptive genetic algorithm graphics design based on fuzzy entropy thresholding method

Jianhui Yang, Ke Mu

COMPUTER MODELLING & NEW TECHNOLOGIES 2013 17(5A) 17-20

School of Mathematics and Statistics, Zhoukou Normal University, Zhoukou 466000, China

In today's society with rapid development of science and technology, the computer figure image design can be widely used in various industries. The quality of graphics design plays a very important role in the film, television, advertising, exhibition, art, electronic play and so on. With the development of computer information technology, the design of the graphics technology will progress. This paper prompts a adaptive genetic algorithm graphics design method based on fuzzy entropy thresholding which can improve the quality of digital graph. The experiment shows that the AGA-FET method proposed in this paper overcomes such defects of the traditional FET method as low computation efficiency of the exhaust algorithm and poor adaptability to the various images resulting from presetting the bandwidth of membership function.