Abstract : 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 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 results than the recently proposed non-cooperative game approach. We also compare this algorithm with other labeling algorithms on real-world and synthetic images
https://hal.inria.fr/hal-01087882 Contributor : Shan YuConnect in order to contact the contributor Submitted on : Thursday, November 27, 2014 - 4:21:52 AM Last modification on : Friday, February 4, 2022 - 3:17:59 AM
Guodong Guo, Shan Yu, Songde Ma. An Image Labeling Algorithm Based on Cooperative Game Theory. ICSP'98 - Fourth International Conference on Signal Processing, Oct 1998, Beijing, China. ⟨hal-01087882⟩