Lung CT Image Segmentation Based on Mixture Active Contour Model
Ke Tao, Zhe Qu, Dong Dong Wang · Applied Mechanics and Materials · 2014
In order to solve the difficult problem in lung CT image segmentation, the segmentation method based on Mixture Active Contour Model is proposed and the learning algorithm is presented. It gets the prior information of lung CT image segmentation through Gaussian Mixture Model, couples the penalty term and edge detection of the level set function. Experimental results illustrate the effectiveness of the method based on MACM in solving lung CT image segmentation.