Affine invariant surface evolutions for 3D image segmentation


Journal Article

In this paper we present an algorithm for 3D medical image segmentation based on an affine invariant flow. The algorithm is simple to implement and semi-automatic. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The surface flow is obtained by minimizing a global energy with respect to an affine invariant metric. Affine invariant edge detectors for 3-dimensional objects are also computed which have the same qualitative behavior as the Euclidean edge detectors. Results on artificial and real MRI images show that the algorithm performs well, both in terms of accuracy and robustness to noise. © 2006 SPIE-IS&T.

Full Text

Duke Authors

Cited Authors

  • Rathi, Y; Olver, P; Sapiro, G; Tannenbaum, A

Published Date

  • April 17, 2006

Published In

Volume / Issue

  • 6064 /

International Standard Serial Number (ISSN)

  • 0277-786X

Digital Object Identifier (DOI)

  • 10.1117/12.640282

Citation Source

  • Scopus