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2007 International Conference on Computational Intelligence and Security (CIS 2007)
A New MRF Framework with Dual Adaptive Contexts for Image Segmentation
Harbin, Heilongjiang, China
December 15-December 19
ISBN: 0-7695-3072-9
| ASCII Text | x | ||
| Ping Zhong, Fang Liu, Runsheng Wang, "A New MRF Framework with Dual Adaptive Contexts for Image Segmentation," 2012 Eighth International Conference on Computational Intelligence and Security, pp. 351-355, 2007 International Conference on Computational Intelligence and Security (CIS 2007), 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/CIS.2007.192, author = {Ping Zhong and Fang Liu and Runsheng Wang}, title = {A New MRF Framework with Dual Adaptive Contexts for Image Segmentation}, journal ={2012 Eighth International Conference on Computational Intelligence and Security}, volume = {0}, year = {2007}, isbn = {0-7695-3072-9}, pages = {351-355}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIS.2007.192}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 Eighth International Conference on Computational Intelligence and Security TI - A New MRF Framework with Dual Adaptive Contexts for Image Segmentation SN - 0-7695-3072-9 SP351 EP355 A1 - Ping Zhong, A1 - Fang Liu, A1 - Runsheng Wang, PY - 2007 VL - 0 JA - 2012 Eighth International Conference on Computational Intelligence and Security ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIS.2007.192
This work presents a new Markov random field (MRF) framework for image segmentation by incorporating exact contexts in the label field as well as the observed data. On the one hand, the new framework presents MRF with adaptive neighborhood (MRF-AN) system to model adaptively the contextual information of the hidden label field. On the other hand, the new framework models observations via a conditional random field (CRF), which incorporates the contextual information in observed data. The new MRF framework with the dual adaptive contextual information offers several advantages over the conventional framework. In this work, we demonstrate the advantages in an application of detail preservation in image segmentation.
Citation:
Ping Zhong, Fang Liu, Runsheng Wang, "A New MRF Framework with Dual Adaptive Contexts for Image Segmentation," cis, pp.351-355, 2007 International Conference on Computational Intelligence and Security (CIS 2007), 2007
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