Research and Implementation of Automate Segmentation for Low Contrast Medical Images

A new algorithm by using geometric active contour model with the fusion of shape and texture priors to manual segment medical images has been presented in this paper. Then the prior knowledge is merged into active contour model with its contour evolution which is evolved using a genetic algorithm technique. The new method has some advantages over classical level set methods in case of images with weak and fuzzy edges. Series of experiments have been carried out to evaluate the new method. The experimental results indicate the proposed method is effective.