Details

Autor(en) / Beteiligte

• dong Guo, Guo
• Yu, Shan
• de Ma, Song

Titel

A new algorithm CGA for image labeling

Ist Teil von

• 9th European Signal Processing Conference (EUSIPCO 1998), 1998, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

1998

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Many image analysis and computer vision problems can be formulated as a scene labeling problem in which each site is to be assigned a label from a discrete or continuous label set with contextual information. In this paper we present a new labeling algorithm based on the game theory. More precisely, we use Markov random fields to model images, and we design an n-person cooperative game which yields a deterministic optimization algorithm. Experimental results show that the algorithm is efficient and effective, exhibiting very fast convergence, and producing better result than the recently proposed non-cooperative game approach. We also compare this algorithm with other labeling algorithms on real world and synthetic images.