Automatic image segmentation using a deformable model based on charged particles

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Abstract

We present a method for automatic segmentation of grey-scale images, based on a recently introduced deformable model, the charged-particle model (CPM). The model is inspired by classical electrodynamics and is based on a simulation of charged particles moving in an electrostatic field. The charges are attracted towards the contours of the objects of interest by an electrostatic field, whose sources are computed based on the gradient-magnitude image. Unlike the case of active contours, extensive user interaction in the initialization phase is not mandatory, and segmentation can be performed automatically. To demonstrate the reliability of the model, we conducted experiments on a large database of microscopic images of diatom shells. Since the shells are highly textured, a post-processing step is necessary in order to extract only their outlines.
Original languageEnglish
Title of host publicationIMAGE ANALYSIS AND RECOGNITION, PT 1, PROCEEDINGS
EditorsA Campilho, M Kamel
Place of PublicationBERLIN
PublisherUniversity of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science
Pages1-8
Number of pages8
ISBN (Print)3-540-23223-0
Publication statusPublished - 2004
EventInternational Conference on Image Analysis and Recognition - , Portugal
Duration: 29-Sept-20041-Oct-2004

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE
PublisherSPRINGER-VERLAG BERLIN
Volume3211
ISSN (Print)0302-9743

Other

OtherInternational Conference on Image Analysis and Recognition
Country/TerritoryPortugal
Period29/09/200401/10/2004

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