2007
DOI: 10.1007/s10851-007-0021-x
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Higher-Order Active Contour Energies for Gap Closure

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Cited by 5 publications
(2 citation statements)
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References 27 publications
(25 reference statements)
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“…(ii) We propose a simple optimization model (equipped with connectivity and branching constraints) to select a subset of edges from a curvature regularized graph to infer the final solution, from the given data. (iii) We present results on a set of Diffusion Tensor images noting that the proposed solution is of independent interest in the context of general Vision problems dealing with connectivity inference (for example, see [26,27]). …”
Section: Related Workmentioning
confidence: 99%
“…(ii) We propose a simple optimization model (equipped with connectivity and branching constraints) to select a subset of edges from a curvature regularized graph to infer the final solution, from the given data. (iii) We present results on a set of Diffusion Tensor images noting that the proposed solution is of independent interest in the context of general Vision problems dealing with connectivity inference (for example, see [26,27]). …”
Section: Related Workmentioning
confidence: 99%
“…There are some techniques which have widely used in gap filling process. Different shapes of operators of mathematical morphology (Zhang, et al, 1999;Chiang, et al, 2005;Chiang, et al, 2008;Mountrakis and Luo, 2011;Maurya, et al, 2011 ) Active contour (Rochery, et al, 2004;Rochery, et al, 2005;Rochery, et al, 2006;Rochery, et al, 2007) and tensor voting (Linton, 2009;Henderson and Linton, 2009) are among them. Also, several algorithms have been innovatively designed by researchers.…”
Section: Introductionmentioning
confidence: 99%