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80
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JVCIR
2006
85views more  JVCIR 2006»
14 years 10 months ago
Combining geometrical and textured information to perform image classification
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
Jean-François Aujol, Tony F. Chan
78
Voted
CVPR
2008
IEEE
16 years 7 days ago
Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
Texture information in images is coupled with geometric macrostructures and piecewise-smooth intensity variations. Decomposing an image f into a geometric structure component u an...
Georgios Evangelopoulos, Petros Maragos
105
Voted
ICIP
2006
IEEE
15 years 12 months ago
Fusion of Geometrical and Texture Information for Facial Expression Recognition
A novel method based on geometrical and texture information is proposed for facial expression recognition from video sequences. The Discriminant Non-negative Matrix Factorization ...
Irene Kotsia, Nikos Nikolaidis, Ioannis Pitas
88
Voted
IADIS
2008
14 years 11 months ago
Subspace Orthogonal Projection for Texture Segmentation with Wavelet Frames
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
Mahmoud K. Quweider
91
Voted
MICCAI
2005
Springer
15 years 11 months ago
The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study
This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentati...
Pierrick Bourgeat, Jurgen Fripp, Andrew L. Janke, ...