title: Medical image segmentation based on a hybrid region-based active contour model.
abstract: A novel hybrid region-based active contour model is presented to segment medical images with intensity inhomogeneity. The energy functional for the proposed model consists of three weighted terms: global term, local term, and regularization term. The total energy is incorporated into a level set formulation with a level set regularization term, from which a curve evolution equation is derived for energy minimization. Experiments on some synthetic and real images demonstrate that our model is more efficient compared with the localizing region-based active contours (LRBAC) method, proposed by Lankton, and more robust compared with the Chan-Vese (C-V) active contour model.
authors.affiliation: College of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Tingting
authors.initials: T
authors.lastname: Liu
authors.affiliation: College of Science & Technology, Ningbo University, Ningbo 315211, China.
authors.forename: Haiyong
authors.initials: H
authors.lastname: Xu
authors.affiliation: College of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Wei
authors.identifier: 0000-0002-6844-4324
authors.initials: W
authors.lastname: Jin
authors.affiliation: College of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Liu
authors.affiliation: College of Science & Technology, Ningbo University, Ningbo 315211, China.
authors.forename: Yiming
authors.initials: Y
authors.lastname: Zhao
authors.affiliation: College of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Wenzhe
authors.initials: W
authors.lastname: Tian
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000000981:diagnostic imaging / Q000473:pathology*; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods; D011859:Radiography; D014965:X-Rays