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Volumetric object reconstruction using the 3D-MRF model-based segmentation

Title
Volumetric object reconstruction using the 3D-MRF model-based segmentation
Authors
Choi S.M.Lee J.E.Kim J.Kim M.H.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
1997
Journal Title
IEEE Transactions on Medical Imaging
ISSN
0278-0062JCR Link
Citation
IEEE Transactions on Medical Imaging vol. 16, no. 6, pp. 887 - 892
Indexed
SCIE; SCOPUS scopus
Document Type
Article
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. © 1997 IEEE.
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엘텍공과대학 > 컴퓨터공학과 > Journal papers
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