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A Markov random field image segmentation model for color textured images. IMAGE AND VISION COMPUTING. 2006;24(10):1103-1114.
A multi-layer MRF model for video object segmentation. In: Narayanan P J, Nayar S K, Shum H Y, editors. COMPUTER VISION - ACCV 2006, PT II. Springer Verlag; 2006. 9. p. 953-962p.
Video Object Segmentation Using a Multicue Markovian Model. In: Chetverikov D, Czúni L, Vincze M, editors. Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco. Vienna: OCG; 2005. 1. p. 111-118p.
Color textured image segmentation using a multi-layer Markovian model. In: A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2004. Miskolctapolca; 2004. 1. p. 152-158p.
Unsupervised segmentation of color textured images using a multi-layer MRF model. In: , editor. ICIP 2003: IEEE International Conference on Image Processing. IEEE; 2003. 9. p. 961-964p.
Multicue MRF image segmentation: Combining texture and color features. In: Katsuri R, Laurendeau D, Suen CY, editors. Proceedings 16th International Conference on Pattern Recognition (ICPR 2002). IEEE Computer Society; 2002. 6. p. 660-663p.
Color image segmentation and parameter estimation in a markovian framework. PATTERN RECOGNITION LETTERS. 2001;22(3-4):309-321.
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features. In: Skarbek W, editor. Proceedings of International Conference on Computer Analysis of Images and Patterns (CAIP). Berlin; Heidelberg: Springer Verlag; 2001. 5. p. 547-554p.
Motion Compensated Color Video Classification Using Markov Random Fields. In: Chin R, Pong T C, editors. Proceedings of Asian Conference on Computer Vision (ACCV). Berlin; Heidelberg: Springer Verlag; 1998. 7. p. 738-745p.
Motion Compensated Color Video Classification Using Markov Random Fields. In: Chin R, Pong T C, editors. Proceedings of Asian Conference on Computer Vision (ACCV). Berlin; Heidelberg: Springer Verlag; 1998. 7. p. 738-745p.