In order to effectively segment biological movement image

this paper inspired by the two-dimension maximum entropy

use the clone selection algorithm of computer immunology into the image segmentation. First

this method codes the two-dimension maximum entropy. Second

the fitness function is established according to the criterion function of the two-dimension maximum entropy. Then with the given initial population

we execute selection

cloning

mutation and updating to the population

finally get the best result which can segment image efficiently. The experimental results indicate that this algorithm spend the search time approximately only then the ordinary two-dimensional biggest entropy method 13%. This proof the method is feasible and effective.