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, Türkiye, 16 - 19 Mayıs 2015, ss.839-842 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2015.7129959
  • Basıldığı Şehir: Malatya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.839-842
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.