The image segmentation algorithm based on 2-D maximum entropy

2D maximum entropy algorithm is of quite good effect in image segmentation, but it requires long time on the complex calculation. Considering CGApsilas (chaos genetic algorithm) ability to retain the species diversity and great astringencypsila a new 2-D maximum entropy method based on CGA was put forward. It has been proved that the new algorithm is of better capacity to search for the best , performs more steadily and results in better segmentation effect.