An Efficient Morphological Active Surface Model for Volumetric Image Segmentation

Authors:
Andrei C. Jalba;Jos B. Roerdink
Affiliations:
Institute for Mathematics and Computing Science, Eindhoven University of Technology, Eindhoven, The Netherlands 5600;Institute for Mathematics and Computing Science, University of Groningen, Groningen, The Netherlands 9700
Venue:
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Year:
2009

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Abstract

Using tools from multi-scale morphology, we reformulate a region-based active-contour model using a minimum-variance criterion. Experimental results of 3D data show that our discrete model achieves similar segmentation quality as the continuous model based on the level-set framework, while being two orders of magnitude faster than optimized implementations of the original continuous model.