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Mean Shifting Gradient Vector Flow: An Improved External Force Field for Active
 

Summary: Mean Shifting Gradient Vector Flow:
An Improved External Force Field for Active
Surfaces in Widefield Microscopy.
Margret Keuper
Chair of Pattern Recognition and Image Processing
Computer Science Department
Centre of Biological Signalling Studies (bioss)
University of Freiburg
keuper@informatik.uni-freiburg.de
January 19, 2011
Abstract
Gradient vector flow based 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 to strong gradients 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

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences