期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 10, 期 4, 页码 816-820出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2012.2224842
关键词
Image segmentation; Markov random field (MRF); multiresolution technique; region
类别
资金
- National Natural Science Foundation of China [41001286, 41101425, 40971219, 41001256, 41001251]
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.
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