Introduction - If you have any usage issues, please Google them yourself
Genetic algorithm is currently widely used in many scientific experiments in the field of a nonlinear parallel algorithm. In this paper, genetic algorithm in the digital gray level image binarization of the application, proposed a new binarization of grayscale method. The method by optimizing each sub-group improved calculation and dynamic fitness function, to identify new segmentation threshold. experimental verification of the method for the general quality of the image noise has a good effect.