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PR
2000
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14 years 11 months ago
Rotation-invariant texture classification using feature distributions
Matti Pietikäinen, Timo Ojala, Zelin Xu
ICPR
2004
IEEE
16 years 25 days ago
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...
David A. Clausi, Huawu Deng
ICIP
2002
IEEE
16 years 1 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
ICPR
2008
IEEE
16 years 28 days ago
Texture segmentation benchmark
The Prague texture segmentation data-generator and benchmark is a web based (http://mosaic.utia.cas.cz) service designed to mutually compare and rank different texture segmenters,...
Michal Haindl, Stanislav Mikes
ISBI
2006
IEEE
16 years 13 days ago
Texture-based segmentation of the knee bones in MRI using phase information
This paper considers the problem of tissue classification in 3D MRI by the mean of texture analysis. The main contribution is the use of the phase of the complex MR image, to deri...
Peter Stanwell, Pierrick Bourgeat, Sébastie...