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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This work is licensed under a 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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Citation Formats

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.