Cited By
View all- Zhou HLi XSchaefer GCelebi MMiller P(2013)Mean shift based gradient vector flow for image segmentationComputer Vision and Image Understanding10.1016/j.cviu.2012.11.015117:9(1004-1016)Online publication date: 1-Sep-2013
Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces
Authors: 
Margret Keuper, Hans Burkhardt, Olaf Ronneberger, Jan Padeken, Patrick HeunAuthors Info & Claims
Pages 2784 - 2787
Abstract
Gradient vector flow snakes are a very common method in bio-medical image segmentation. The use of gradient vector flow herein brings some major advantages like a large capture range and a good adaption of the snakes in concave regions. In some cases though, the application of gradient vector flow can also have undesired effects, e.g. if only parts of an image are strongly blurred, the remaining weak gradients will be smoothed away. Also, large gradients resulting from small but bright image structures usually have strong impact on the overall result. To tackle this problem, we present an improvement of the gradient vector flow, using the mean shift procedure and show its advantages on the segmentation of 3D cell nuclei.
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Information
Published In
August 2010
4662 pages
ISBN:9780769541099
Publisher
IEEE Computer Society
United States
Publication History
Published: 23 August 2010
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Cited By
View all- Zhou HLi XSchaefer GCelebi MMiller P(2013)Mean shift based gradient vector flow for image segmentationComputer Vision and Image Understanding10.1016/j.cviu.2012.11.015117:9(1004-1016)Online publication date: 1-Sep-2013