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Jeong, Won-Ki
High-performance Visual Computing Lab
Research Interests
  • Visualization, image processing, machine learning, parallel computing


Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation

DC Field Value Language Pan, Yongsheng ko Jeong, Won-Ki ko Whitaker, Ross ko 2014-10-30T00:08:24Z - 2014-10-29 ko 2011-10 ko
dc.identifier.citation COMPUTER VISION AND IMAGE UNDERSTANDING, v.115, no.10, pp.1375 - 1383 ko
dc.identifier.issn 1077-3142 ko
dc.identifier.uri -
dc.description.abstract This paper presents Markov surfaces, a probabilistic algorithm for user-assisted segmentation of elongated structures in 3D images. The 3D segmentation problem is formulated as a path-finding problem, where path probabilities are described by Markov chains. Users define points, curves, or regions on 2D image slices, and the algorithm connects these user-defined features in a way that respects the underlying elongated structure in data. Transition probabilities in the Markov model are derived from intensity matches and interslice correspondences, which are generated from a slice-to-slice registration algorithm. Bezier interpolations between paths are applied to generate smooth surfaces. Subgrid accuracy is achieved by linear interpolations of image intensities and the interslice correspondences. Experimental results on synthetic and real data demonstrate that Markov surfaces can segment regions that are defined by texture, nearby context, and motion. A parallel implementation on a streaming parallel computer architecture, a graphics processor, makes the method interactive for 3D data. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.title Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-79959919338 ko
dc.identifier.wosid 000294395900003 ko
dc.type.rims ART ko
dc.description.wostc 0 *
dc.description.scopustc 1 * 2015-05-06 * 2014-10-29 *
dc.identifier.doi 10.1016/j.cviu.2011.06.003 ko
dc.identifier.url ko
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