Texture Image Segmentation Based on MRMRF in Contourlet Domain
This paper presents a new multi-resolution Markov random field model in Contourlet domain for unsupervised texture image segmentation. In order to make full use of the merits of Contourlet transformation, we introduce the taditional MRMRF model into Contourlet domain, in a manner of variable interation between two components in the tradtional MRMRF model. Using this method, the new model can automatically estimate model parameters and produce accurate unsupervised segmentation results. The results obtained on synthetic texture images and remote sensing images demonstrate that a better segmentation is achieved by our model than the traditional MRMRF model.
Suozhang Cai and Mingli Li
X. J. Wang and X. F. Zhao, "Texture Image Segmentation Based on MRMRF in Contourlet Domain", Advanced Materials Research, Vols. 532-533, pp. 732-737, 2012