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An MRF Framework For Co-Solving Image Segmentation and Border Ownership
Date
2015-05-19
Author
Karadag, Ozge Oztimur
Akkus, Mehmet Akif
Kalkan, Sinan
Yarman Vural, Fatoş Tunay
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Image segmentation and border ownership assignment are two widely studied areas in the computer vision literature. It is well known that both the segmentation and the border ownership assignment play an important role in the visual perception. In this study, a Markov Random Fields model which provides a dual solution for the segmentation and the border ownership assignment is proposed. The proposed system is analyzed both quantitatively and qualitatively.
Subject Keywords
Markov Random Fields
,
Border ownership
,
Image segmentation
URI
https://hdl.handle.net/11511/37213
DOI
https://doi.org/10.1109/siu.2015.7129959
Collections
Department of Computer Engineering, Conference / Seminar
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O. O. Karadag, M. A. Akkus, S. Kalkan, and F. T. Yarman Vural, “An MRF Framework For Co-Solving Image Segmentation and Border Ownership,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37213.