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ICPR
2000
IEEE
15 years 8 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
CAIP
2009
Springer
236views Image Analysis» more  CAIP 2009»
15 years 11 months ago
An Efficient Parallel Algorithm for Graph-Based Image Segmentation
Jan Wassenberg, Wolfgang Middelmann, Peter Sanders
DAGM
2004
Springer
15 years 9 months ago
Hierarchical Image Segmentation Based on Semidefinite Programming
Jens Keuchel, Matthias Heiler, Christoph Schnö...
ISVC
2009
Springer
15 years 10 months ago
Adaptive Contextual Energy Parameterization for Automated Image Segmentation
Image segmentation techniques are predominately based on parameter-laden optimization processes. The segmentation objective function traditionally involves parameters (i.e. weights...
Josna Rao, Ghassan Hamarneh, Rafeef Abugharbieh
CAIP
2003
Springer
133views Image Analysis» more  CAIP 2003»
15 years 9 months ago
Automatic Segmentation of Diatom Images
A general framework for automatic segmentation of diatom images is presented. This segmentation is a critical first step in contour-based methods for automatic identification of ...
Andrei Jalba, Jos B. T. M. Roerdink