Statistical multiregion snake-based segmentation

Olivier Germain; Philippe Refregier

doi:10.1117/12.402438

4 October 2000 Statistical multiregion snake-based segmentation

Olivier Germain, Philippe Refregier

Proceedings Volume 4121, Mathematical Modeling, Estimation, and Imaging; (2000) https://doi.org/10.1117/12.402438
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

We have recently proposed a new statistical approach based on active contours (snakes) for the segmentation of a unique object in an image. In this article, we address the case of an image composed of several different regions. We propose an extension of snake to a deformable partition of the image with a fixed number of regions. This active grid allows a semi-supervised segmentation of the image.

Citation Download Citation

Olivier Germain and Philippe Refregier "Statistical multiregion snake-based segmentation", Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); https://doi.org/10.1117/12.402438

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