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- W2018456853 abstract "A number of segmentation algorithms have been developed, but those algorithms are not effective on volume reconstruction because they are limited to operating only on two-dimensional (2-D) images. In this paper, we propose the volumetric object reconstruction method using the three-dimensional Markov random field (3D-MRF) model-based segmentation. The 3D-MRF model is known to be one of efficient ways to model spatial contextual information. The method is compared with the 2-D region growing scheme under three types of interpolation. The results show that the proposed method is better in the aspect of image quality than other methods." @default.
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- W2018456853 date "1997-01-01" @default.
- W2018456853 modified "2023-09-23" @default.
- W2018456853 title "Volumetric object reconstruction using the 3D-MRF model-based segmentation [magnetic resonance imaging]" @default.
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- W2018456853 doi "https://doi.org/10.1109/42.650884" @default.
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