Medical Image Segmentation Based on Threshold SVM

Medical image segmentation is a basic problem in medical image processing field and the key to the problem from processing to analyzing.Medical image segmentation based on SVM needs the category attribute of image training sample set in order to achieve the goal of image segmentation by machine learning.The method of obtaining sample set manually involves heavy workload,what is worse,the accuracy entirely depends on the experience of operators.Therefore this paper proposes a second-order segmentation method based on threshold SVM.The experiment shows that the new method is feasible and its performance is nice,in which the hung is segmented from the chest X-ray film.