title: A novel adaptive level set segmentation method.
abstract: The adaptive distance preserving level set (ADPLS) method is fast and not dependent on the initial contour for the segmentation of images with intensity inhomogeneity, but it often leads to segmentation with compromised accuracy. And the local binary fitting model (LBF) method can achieve segmentation with higher accuracy but with low speed and sensitivity to initial contour placements. In this paper, a novel and adaptive fusing level set method has been presented to combine the desirable properties of these two methods, respectively. In the proposed method, the weights of the ADPLS and LBF are automatically adjusted according to the spatial information of the image. Experimental results show that the comprehensive performance indicators, such as accuracy, speed, and stability, can be significantly improved by using this improved method.
authors.affiliation: The 175 Hospital, Southeast Hospital of Xiamen University, Zhangzhou, Fujian 363000, China.
authors.forename: Yazhong
authors.initials: Y
authors.lastname: Lin
authors.affiliation: Zhengzhou University of Light Industry, Zhengzhou, Henan 450002, China ; Southern Medical University, Guangzhou, Guangdong 510515, China.
authors.forename: Qian
authors.identifier: 0000-0001-7984-625X
authors.initials: Q
authors.lastname: Zheng
authors.affiliation: The 175 Hospital, Southeast Hospital of Xiamen University, Zhangzhou, Fujian 363000, China.
authors.forename: Jiaqiang
authors.initials: J
authors.lastname: Chen
authors.affiliation: The 175 Hospital, Southeast Hospital of Xiamen University, Zhangzhou, Fujian 363000, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Cai
authors.affiliation: Southern Medical University, Guangzhou, Guangdong 510515, China.
authors.forename: Qianjin
authors.identifier: 0000-0001-8647-0596
authors.initials: Q
authors.lastname: Feng
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology; D003198:Computer Simulation; D001330:Electronic Data Processing; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D015233:Models, Statistical; D016011:Normal Distribution; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D014965:X-Rays