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» Graph Cut Segmentation with Nonlinear Shape Priors
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ISBI
2009
IEEE
14 years 3 months ago
Structural Annotation of EM Images by Graph Cut
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
Hang Chang, Manfred Auer, Bahram Parvin
MICCAI
2010
Springer
14 years 2 months ago
  A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images
While there has been substantial progress in segmenting natural im- ages, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform ...
A. Lucchi, K. Smith, R. Achanta, V. Lepetit, P. Fu...
ICCV
2001
IEEE
14 years 10 months ago
Image Segmentation with Minimum Mean Cut
We introduce a new graph-theoretic approach to image segmentation based on minimizing a novel class of `mean cut' cost functions. Minimizing these cost functions corresponds ...
Song Wang, Jeffrey Mark Siskind
CVPR
2011
IEEE
13 years 4 months ago
Biased Normalized Cuts
We present a modification of “Normalized Cuts” to incorporate priors which can be used for constrained image segmentation. Compared to previous generalizations of “Normaliz...
Subhransu Maji, Nisheeth Vishnoi, Jitendra Malik
ECCV
2008
Springer
14 years 10 months ago
An Experimental Comparison of Discrete and Continuous Shape Optimization Methods
Shape optimization is a problem which arises in numerous computer vision problems such as image segmentation and multiview reconstruction. In this paper, we focus on a certain clas...
Maria Klodt, Thomas Schoenemann, Kalin Kolev, Mare...