Title :
Image Segmentation Based on Inhomogeneous Markov Random Field and Dirichlet Process Mixture
Author :
Chen, Xiaobo ; Cheng, Xianyi ; Liang, Jun
Author_Institution :
Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Jiangsu
Abstract :
A novel graphical model based on inhomogeneous Markov random field and Dirichlet process mixture is proposed to address the problems encountered by hidden Markov random field. It incorporates the local and global scale information. A sampling method is also devised based on Gibbs sampler. The model is investigated in the context of image segmentation and the performance is evaluated.
Keywords :
Markov processes; image sampling; image segmentation; Dirichlet process mixture; Gibbs sampler; global scale information; hidden Markov random field; image segmentation; inhomogeneous Markov random field mixture; Bayesian methods; Computer science; Computer vision; Context modeling; Graphical models; Hidden Markov models; Image segmentation; Markov random fields; Pixel; Sampling methods;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.311
