An efficient morphological active surface model for volumetric image segmentation

A.C. Jalba, J.B.T.M. Roerdink

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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.
Original languageEnglish
Title of host publicationMathematical Morphology and Its Application to Signal and Image Processing (9th International Symposium, ISMM 2009, Groningen, The Netherlands, August 24-27, 2009. Proceedings)
EditorsM.H.F. Wilkinson, J.B.T.M. Roerdink
Place of PublicationBerlin
PublisherSpringer
Pages193-204
ISBN (Print)978-3-642-03612-5
DOIs
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science
Volume5720
ISSN (Print)0302-9743

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Jalba, A. C., & Roerdink, J. B. T. M. (2009). An efficient morphological active surface model for volumetric image segmentation. In M. H. F. Wilkinson, & J. B. T. M. Roerdink (Eds.), Mathematical Morphology and Its Application to Signal and Image Processing (9th International Symposium, ISMM 2009, Groningen, The Netherlands, August 24-27, 2009. Proceedings) (pp. 193-204). (Lecture Notes in Computer Science; Vol. 5720). Berlin: Springer. https://doi.org/10.1007/978-3-642-03613-2_18