Image Segmentation Using Multiregion-Resolution MRF Model

doi:10.1109/LGRS.2012.2224842

Image Segmentation Using Multiregion-Resolution MRF Model

2013-07-01

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DOI：10.1109/LGRS.2012.2224842

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Abstract

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The multiresolution technique is one of the most important techniques for image segmentation. Wavelet transformation is a pixel-based method and is widely used for multiresolution segmentation approaches, but it suffers the deficiency of modeling the macrotexture pattern of a given image. In order to overcome such a problem, this letter extends the multiresolution technique from the pixel level to the region level and proposes a new image segmentation model by incorporating the multiregion-resolution and the Markov random field model. Experiments are conducted using synthetic-aperture-radar data and remote sensing images, which demonstrates that our method can improve the segmentation accuracy compared with the multiresolution method based on the pixel level.

Keywords:

Image segmentation

Markov random field (MRF)

multiresolution technique

region

Image Segmentation Using Multiregion-Resolution MRF Model

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