To address the instability problems of level set and region growth

for example

they are sensitive to noises and initial boundaries as well as they will easily leak from the weak boundaries

an improved image segmentation method based on level set is proposed.Our model consists of an external energy term that involves the image gray-scale statistical information and gradient information.And we use region growth method to solve the problem that level set method is sensitive to initial boundaries.we contrast our improved method with region growth method

threshold method

GAC model

C-V model

Snake model to segment livers from abdominal CT images.The experiment results show that our method can not only be efficient for image segmentation

but also greatly improve the quality of segmentation.