Evolving an Image Comparison Matrix Using Genetic Programming
This paper is to apply the genetic programming technique to evolve a matrix which provides a quantitative indicator to detect subtle difference between two apparently similar pictures.The images here refer to the PPM format images.The GP environment I used is the LIL-GP which is a C language system for developing genetic programming applications.To train the LIL-GP to generate the target matrix, I defined some terminals and functions composing the GP programs.I also defined the fitness function which was very important to my problem.The fitness ease was an array of PPM images composed of one original image followed by some lower quality version images.The ideal of the fitness function was to take the standard image comparison matrix as the reference which can guide the GP to find the target matrix by compute the distance between the reference one and the GP program.The target matrix should perform better than the reference one.
Genetic Programming Image Comparison
Xiaofei Wu
Department of Computer Crime Investigation,China Police University for Criminal Investigation,Shenyang 110035,Liaoning,China
国际会议
大连
英文
1410-1418
2008-07-27（万方平台首次上网日期，不代表论文的发表时间）