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Proceedings Paper

Image segmentation using random-walks on the histogram
Author(s): Jean-Philippe Morin; Christian Desrosiers; Luc Duong
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Paper Abstract

This document presents a novel method for the problem of image segmentation, based on random-walks. This method shares similarities with the Mean-shift algorithm, as it finds the modes of the intensity histogram of images. However, unlike Mean-shift, our proposed method is stochastic and also provides class membership probabilities. Also, unlike other random-walk based methods, our approach does not require any form of user interaction, and can scale to very large images. To illustrate the usefulness, efficiency and scalability of our method, we test it on the task of segmenting anatomical structures present in cardiac CT and brain MRI images.

Paper Details

Date Published: 14 February 2012
PDF: 8 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140U (14 February 2012); doi: 10.1117/12.912435
Show Author Affiliations
Jean-Philippe Morin, Ecole de Technologie Supérieure (Canada)
Christian Desrosiers, Ecole de Technologie Supérieure (Canada)
Luc Duong, Ecole de Technologie Supérieure (Canada)

Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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