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Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation
conference contribution
posted on 2014-01-01, 00:00 authored by A Khadidos, V Sanchez, Chang-Tsun LiChang-Tsun LiActive contours, or snakes, have been widely used for image segmentation purposes. However, high noise sensitivity and poor performance over weak edges are the most acute issues that hinder the segmentation accuracy of these curves, particularly in medical images. In order to overcome these issues, we propose a novel external force that integrates gradient vector flow (GVF) field forces and balloon forces based on a weighting factor computed according to local image features. The proposed external force reduces noise sensitivity, improves performance over weak edges and allows initialization with a single manually selected point. We evaluate the proposed external force for segmentation of various regions on real MRI and CT slices. Evaluation results show that the proposed approach leads to more accurate segmentation than snakes using traditional external forces.
History
Event
IEEE Signal Processing Society. Conference (2014 : Paris, France)Series
IEEE Signal Processing Society ConferencePagination
902 - 906Publisher
Institute of Electrical and Electronics EngineersLocation
Paris, FrancePlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-10-27End date
2014-10-30ISBN-13
9781479957514Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
ICIP 2014 : Proceedings of the 2014 IEEE International Conference on Image ProcessingUsage metrics
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