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» Histogram Clustering for Unsupervised Image Segmentation
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ICIP
2009
IEEE
14 years 7 months ago
Colour saliency-based parameter optimisation for adaptive colour segmentation
In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data ...
Dana Elena Ilea, Paul F. Whelan
RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
15 years 2 months ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak
ICPR
2010
IEEE
14 years 11 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
PR
2010
139views more  PR 2010»
14 years 7 months ago
An adaptive unsupervised approach toward pixel clustering and color image segmentation
Zhiding Yu, Oscar C. Au, Ruobing Zou, Weiyu Yu, Ji...
32
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JNIT
2010
201views more  JNIT 2010»
14 years 4 months ago
Unsupervised Color-Texture Image Segmentation Based on A New Clustering Method
Wei Cao, Yixin Yan, Shengming Li