An MRF Framework For Co-Solving Image Segmentation and Border Ownership


Karadag O. O. , Akkus M. A. , Kalkan S. , Vural F. T. Y.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 May 2015, pp.839-842 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2015.7129959
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.839-842

Abstract

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.