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» A Segmentation Algorithm for Noisy Images
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15 years 10 months ago
Supervised Color Image Segmentation in a Markovian Framework
This is the sample implementation of a Markov random field based color image segmentation algorithm described in the following paper: Zoltan Kato, Ting Chuen Pong, and John Chu...
Mihaly Gara, Zoltan Kato
ICASSP
2011
IEEE
14 years 6 months ago
A segmentation method for textured images based on the maximum posterior mode criterion
We consider the problem of semi-supervised segmentation of textured images. Recently, reweighted belief propagation has been introduced as a solution for Bayesian inference with r...
Frédéric Lehmann
CAIP
2001
Springer
165views Image Analysis» more  CAIP 2001»
15 years 7 months ago
A New Approach for Model-Based Adaptive Region Growing in Medical Image Analysis
Abstract. Interaction increases flexibility of segmentation but it leads to undesirable behaviour of an algorithm if knowledge being requested is inappropriate. In region growing, ...
Regina Pohle, Klaus D. Tönnies
ICIP
2004
IEEE
16 years 4 months ago
Perceptually-tuned multiscale color-texture segmentation
We present a perceptually-tuned multiscale image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm extends a previously...
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra M...
ICPR
2008
IEEE
16 years 4 months ago
On segmentation evaluation metrics and region counts
Five image segmentation algorithms are evaluated: mean shift, normalised cuts, efficient graph-based segmentation, hierarchical watershed, and waterfall. The evaluation is done us...
Allan Hanbury, Julian Stöttinger