Image segmentation using region-based MRF combined with boundary information

Xu Song; Liang Wu

doi:10.1117/12.2031342

26 October 2013 Image segmentation using region-based MRF combined with boundary information

Xu Song, Liang Wu

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180Q (2013) https://doi.org/10.1117/12.2031342
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

In this paper, an algorithm of image segmentation using region-based MRF combined with boundary information is proposed. Firstly we obtain the initial over segmentation regions by Meanshift (MS) algorithm and the regions that include seed points are set to seed regions. Then, starting from the seed regions, the finally result is detected under the framework of MRF, where an image model is built for the potential function of the regional MRF image segmentation and combined with edge strength to define a suitable MRF potential function, which is based on the similarity criterion of the value of the edge. The experimental results indicate that the algorithm can promote the adaptive capacity of the MRF model and reserve more details as well as region homogeneous.

Citation Download Citation

Xu Song and Liang Wu "Image segmentation using region-based MRF combined with boundary information", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180Q (26 October 2013); https://doi.org/10.1117/12.2031342

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