Research On Key Technics Of Automatic Segmentation In Medical Image

Recently, medical image segmentation technology is one of the important subjects within medical image processing and analysis research field and worked over throughout the world. The main purpose of medical image segmentation is to divide the image into different regions with special signification and make the results approximate to the anatomic structure, which can provide the credibility gist for clinic diagnose and pathology research. As the complexity of human anatomic structure, the abnormity of tissue shape and the difference among individuals, the commonly image segmentation methods is not fit for the medical image. The availability method must be found to resolve the problem.The investigating statuses in quo and developments about medical image segmentation in domestic and foreign fields are reviewed and summarized. According to medical image characteristic and application demand, the paper discusses the two automatic methods of fuzzy maximum entropy and active contours model, improves the current problem from the model theory to algorithm efficiency and solves the contradiction of segmentation precision and time complexity more better, its main contents include:1. In this work, medical image segmentation methods are compared. Strong points and shortcomings of each method are particularly analyzed, we find automatic medical image segmentation methods is very important for the application of clinic diagnose.2. The Fuzzy weight entropy is proposed to against the...