A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method
作者： S. Balla-Arabe , Xinbo Gao , Bin Wang
DOI: 10.1109/TSMCB.2012.2218233
关键词: Level set method 、 Mathematics 、 Fuzzy set 、 Level set 、 Gradient descent 、 Fuzzy logic 、 Image segmentation 、 Mathematical analysis 、 Fuzzy clustering 、 Algorithm 、 Lattice Boltzmann methods
摘要: … into the objective function that ensure the resulted bias field image to be smooth. The regularization terms, however, make the estimation of the bias field a computationally intensive …
sci-hub.se 
researchgate.net 参考文章(37)
Mark Polak, Hong Zhang, Minghong Pi, Short communication: An evaluation metric for image segmentation of multiple objects Image and Vision Computing. ,vol. 27, pp. 1223- 1227 ,(2009) , 10.1016/J.IMAVIS.2008.09.008
Gilles Aubert, Pierre Kornprobst, Giles Aubert, Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations Springer. ,(2010)
Laurent Guiges, Sylvie Philipp-Foliguet, Évaluation de la segmentation d’images : état de l’art, nouveaux indices et comparaison Traitement Du Signal. ,vol. 23, pp. 109- 124 ,(2006)
F. Gibou, Ronald Fedkiw, A fast hybrid k-means level set algorithm for segmentation 4th Annual Hawaii International Conference on Statistics and Mathematics, 2005. pp. 281- 291 ,(2005)
Jundi Ding, Jialie Shen, HweeHwa Pang, Songcan Chen, Jingyu Yang, Exploiting intensity inhomogeneity to extract textured objects from natural scenes asian conference on computer vision. ,vol. 5996, pp. 1- 10 ,(2009) , 10.1007/978-3-642-12297-2_1
David Patterson, Jitendra Malik, David Royal Martin, An empirical approach to grouping and segmentation An empirical approach to grouping and segmentation. pp. 134- 134 ,(2002)
Souleymane Balla-Arabé, Xinbo Gao, Image multi-thresholding by combining the lattice Boltzmann model and a localized level set algorithm Neurocomputing. ,vol. 93, pp. 106- 114 ,(2012) , 10.1016/J.NEUCOM.2012.04.019
Yu Chen, Zhuangzhi Yan, Yungao Chu, Cellular Automata based Level Set Method for Image Segmentation ieee/icme international conference on complex medical engineering. pp. 171- 174 ,(2007) , 10.1109/ICCME.2007.4381715
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation IEEE Transactions on Image Processing. ,vol. 19, pp. 3243- 3254 ,(2010) , 10.1109/TIP.2010.2069690
Jundi Ding, Runing Ma, Jingyu Yang, Songcan Chen, A tree-structured framework for purifying complex clusters with structural roles of individual data Pattern Recognition. ,vol. 43, pp. 3753- 3767 ,(2010) , 10.1016/J.PATCOG.2010.05.031