Skip to main content

Affine invariant surface evolutions for 3D image segmentation

Publication ,  Journal Article
Rathi, Y; Olver, P; Sapiro, G; Tannenbaum, A
Published in: Proceedings of SPIE the International Society for Optical Engineering
April 17, 2006

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.

Duke Scholars

Published In

Proceedings of SPIE the International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

April 17, 2006

Volume

6064

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Rathi, Y., Olver, P., Sapiro, G., & Tannenbaum, A. (2006). Affine invariant surface evolutions for 3D image segmentation. Proceedings of SPIE the International Society for Optical Engineering, 6064. https://doi.org/10.1117/12.640282
Rathi, Y., P. Olver, G. Sapiro, and A. Tannenbaum. “Affine invariant surface evolutions for 3D image segmentation.” Proceedings of SPIE the International Society for Optical Engineering 6064 (April 17, 2006). https://doi.org/10.1117/12.640282.
Rathi Y, Olver P, Sapiro G, Tannenbaum A. Affine invariant surface evolutions for 3D image segmentation. Proceedings of SPIE the International Society for Optical Engineering. 2006 Apr 17;6064.
Rathi, Y., et al. “Affine invariant surface evolutions for 3D image segmentation.” Proceedings of SPIE the International Society for Optical Engineering, vol. 6064, Apr. 2006. Scopus, doi:10.1117/12.640282.
Rathi Y, Olver P, Sapiro G, Tannenbaum A. Affine invariant surface evolutions for 3D image segmentation. Proceedings of SPIE the International Society for Optical Engineering. 2006 Apr 17;6064.

Published In

Proceedings of SPIE the International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

April 17, 2006

Volume

6064

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering