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Proceedings Paper

Cores for image registration
Author(s): Daniel S. Fritsch; Stephen M. Pizer; Edward L. Chaney; Alan Liu; Suraj Raghavan; Paren I. Shah
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Paper Abstract

Cores provide a means for describing fundamental properties of objects in gray-scale images including object position and width, and object-subfigure relationships. In this paper, we demonstrate several methods for registering 2D and 3D gray-scale medical images using object information summarized by the core.

Paper Details

Date Published: 11 May 1994
PDF: 15 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175048
Show Author Affiliations
Daniel S. Fritsch, Univ. of North Carolina/Chapel Hill (United States)
Stephen M. Pizer, Univ. of North Carolina/Chapel Hill (United States)
Edward L. Chaney, Univ. of North Carolina/Chapel Hill (United States)
Alan Liu, Univ. of North Carolina/Chapel Hill (United States)
Suraj Raghavan, Univ. of North Carolina/Chapel Hill (United States)
Paren I. Shah, Univ. of North Carolina/Chapel Hill (United States)


Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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