D-Snake: Image registration by as-similar-as-possible template deformation

Zohar Levi; Craig Gotsman

doi:10.1109/TVCG.2012.134

D-Snake: Image registration by as-similar-as-possible template deformation

Zohar Levi, Craig Gotsman

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

We describe a snake-type method for shape registration in 2D and 3D, by fitting a given polygonal template to an acquired image or volume data. The snake aspires to fit itself to the data in a shape which is locally As-Similar-As-Possible (ASAP) to the template. Our ASAP regulating force is based on the Moving Least Squares (MLS) similarity deformation. Combining this force with the traditional internal and external forces associated with a snake leads to a powerful and robust registration algorithm, capable of extracting precise shape information from image data.

Original language	English (US)
Article number	6216370
Pages (from-to)	331-343
Number of pages	13
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	19
Issue number	2
DOIs	https://doi.org/10.1109/TVCG.2012.134
State	Published - 2013
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

Keywords

MLS deformation
Snake
registration

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10.1109/TVCG.2012.134

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AB - We describe a snake-type method for shape registration in 2D and 3D, by fitting a given polygonal template to an acquired image or volume data. The snake aspires to fit itself to the data in a shape which is locally As-Similar-As-Possible (ASAP) to the template. Our ASAP regulating force is based on the Moving Least Squares (MLS) similarity deformation. Combining this force with the traditional internal and external forces associated with a snake leads to a powerful and robust registration algorithm, capable of extracting precise shape information from image data.

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D-Snake: Image registration by as-similar-as-possible template deformation

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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