REVIEW OF MEDICAL IMAGE SEGMENTATION WITH STATISTICAL APPROACH- STATE OF THE ART AND ANALYSIS

In recent years, there are many image segmentation algorithms based on level set method have been suggested by the research community in-accordance with the different applications of image processing. At the same time the research communities have put forward the corresponding solutions and continue to improve and enhance the efficiency and effectiveness of these algorithms. In this article, according to the development of the image segmentation methods based on level set, ASM and AAM (statistical methods) overview and analysis is given for readers of different backgrounds in this field to use. These algorithms are summarized from three aspects, i.e., efficiency, discrimination, and robustness. Additionally, some applications and direction for future implementations of SVD based AAM along with level set method is enumerated. The main purpose of this paper is to serve as a guide for further research.