TY - CHAP T1 - Multicue MRF image segmentation: Combining texture and color features T2 - Proceedings 16th International Conference on Pattern Recognition (ICPR 2002) Y1 - 2002 AB -

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.

JF - Proceedings 16th International Conference on Pattern Recognition (ICPR 2002) PB - IEEE Computer Society N1 - ScopusID: 33751583776 ER -