A fast algorithm for medical image segmentation based on improved incremental variational level set

According to the low calculating speed of Chan-Vese model for image segmentation caused by the iteration in process of evolution in the whole image region, a fast medical image segmentation method based on improved incremental variational level set is presented in this paper, in which incremental mode is adopted to get average gray value in iteration and a progressive iterative formula is used as the modification of analytical formula, so that some fast algorithms such as narrowband method could be applied to increase the efficiency of segmentation which makes the model more practical.