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ICPR
2008
IEEE
16 years 7 months ago
Using covariance matrices for unsupervised texture segmentation
In this paper we propose an efficient unsupervised texture segmentation method. We introduce the extension of a state-of-the-art segmentation algorithm, which is exclusively based...
Horst Bischof, Michael Donoser
DAS
2010
Springer
15 years 4 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
MICCAI
2008
Springer
16 years 7 months ago
Joint Segmentation of Thalamic Nuclei from a Population of Diffusion Tensor MR Images
Abstract. Several recent studies explored the use of unsupervised segmentation methods for segmenting thalamic nuclei from diffusion tensor images. These methods provide a plausibl...
Ulas Ziyan, Carl-Fredrik Westin
CCIA
2005
Springer
15 years 7 months ago
Multispectral Image Segmentation for Fruit Quality Estimation
An unsupervised segmentation algorithm based on a multiresolution method is presented. This method uses variational functions as a segmentation criterion. The algorithm has been ap...
Adolfo Martínez Usó, Filiberto Pla, ...
IAJIT
2010
230views more  IAJIT 2010»
15 years 4 months ago
An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
: Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
Mohamad Awad