Image segmentation algorithm based on improved GA and OTSU

摘要

Image segmentation is a key technology on image processing, pattern recognition and artificial intelligence and so on, this article uses the improving genetic algorithms and OSTU to improve two-dimensional image segmentation, the algorithm while maintaining the population diversity to speed up the convergence and to improve the stability of global convergence algorithm, to achieve the best image of the automatic threshold segmentation.