Share Email Print
cover

Proceedings Paper

Piecewise recognition of bone skeleton profiles via an iterative Hough transform approach without re-voting
Author(s): Giorgio Ricca; Mauro C. Beltrametti; Anna Maria Massone
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Many bone shapes in the human skeleton are characterized by profiles that can be associated to equations of algebraic curves. Fixing the parameters in the curve equation, by means of a classical pattern recognition procedure like the Hough transform technique, it is then possible to associate an equation to a specific bone profile. However, most skeleton districts are more accurately described by piecewise defined curves. This paper utilizes an iterative approach of the Hough transform without re-voting, to provide an efficient procedure for describing the profile of a bone in the human skeleton as a collection of different but continuously attached curves.

Paper Details

Date Published: 20 March 2015
PDF: 8 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94132M (20 March 2015); doi: 10.1117/12.2080960
Show Author Affiliations
Giorgio Ricca, Univ. degli Studi di Genova (Italy)
Mauro C. Beltrametti, Univ. degli Studi di Genova (Italy)
Anna Maria Massone, CNR-SPIN (Italy)


Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

© SPIE. Terms of Use
Back to Top