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Proceedings Paper

Optimal stochastic pyramid: segmentation of MRI data
Author(s): Christophe Mathieu; Isabelle E. Magnin; C. Baldy-Porcher
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Paper Abstract

After the description of a graph pyramid used for image processing -- a stochastic pyramid -- a new approach to the translation of an image into a graph is presented. It is shown that the use of a minimal spanning tree in this process improves the results of the segmentation. Some experimental results are presented on synthetic image and on a MRI data of the heart. They are obtained with the stochastic pyramids, with the standard transformation of the image, and with the minimal spanning tree. Finally, a filtering pyramidal algorithm is proposed, using the properties of the minimal spanning tree.

Paper Details

Date Published: 1 June 1992
PDF: 9 pages
Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59407
Show Author Affiliations
Christophe Mathieu, INSA (France)
Isabelle E. Magnin, INSA (France)
C. Baldy-Porcher, INSA (France)

Published in SPIE Proceedings Vol. 1652:
Medical Imaging VI: Image Processing
Murray H. Loew, Editor(s)

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