01406nas a2200181   4500008004100000245007400041210006900115260003500184300001400219520076700233100001701000700002101017700002101038700001901059700001801078700001901096856010901115       2002                        eng d00aMulticue MRF image segmentation: Combining texture and color features0 aMulticue MRF image segmentation Combining texture and color feat  bIEEE Computer Societyc2002///  a660 - 6633 a<p>Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature has its own layer, called feature layer, where an MRF model is defined using only the corresponding feature. A special layer is assigned to the combined MRF model. This layer interacts with each feature layer and provides the segmentation based on the combination of different features. The uniqueness of our algorithm is that it provides both color only and texture only segmentations as well as a segmentation based on combined color and texture features. The number of classes on feature layers is given by the user but it is estimated on the combined layer. © 2002 IEEE.</p>1 aKato, Zoltan1 aPong, Ting Chuen1 aQiang, Song, Guo1 aKatsuri, Ranga1 aLaurendeau, D1 aSuen, Ching, Y  uhttps://inf.u-szeged.hu/publication/multicue-mrf-image-segmentation-combining-texture-and-color-features