Optimal stochastic pyramid: segmentation of MRI data

Christophe Mathieu; Isabelle E. Magnin; C. Baldy-Porcher

doi:10.1117/12.59407

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1 June 1992 Optimal stochastic pyramid: segmentation of MRI data

Christophe Mathieu, Isabelle E. Magnin, C. Baldy-Porcher

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Proceedings Volume 1652, Medical Imaging VI: Image Processing; (1992) https://doi.org/10.1117/12.59407
Event: Medical Imaging VI, 1992, Newport Beach, CA, United States

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.

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Christophe Mathieu, Isabelle E. Magnin, and C. Baldy-Porcher "Optimal stochastic pyramid: segmentation of MRI data", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); https://doi.org/10.1117/12.59407

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