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ICIP
2010
IEEE
13 years 7 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung
PR
2000
58views more  PR 2000»
13 years 9 months ago
Rotation-invariant texture classification using feature distributions
Matti Pietikäinen, Timo Ojala, Zelin Xu
ICCV
2007
IEEE
14 years 11 months ago
Spherical-Homoscedastic Shapes
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
Onur C. Hamsici, Aleix M. Martínez
ICIP
2005
IEEE
14 years 11 months ago
Comparison of invariant descriptors for object recognition
This paper deals with the performance evaluation of three object invariant descriptors : Hu moments, Zernike moments and Fourier-Mellin descriptors. Experiments are conducted on a...
Anant Choksuriwong, Bruno Emile, Hélè...
ICASSP
2007
IEEE
14 years 1 months ago
Texture Classification by using Advanced Local Binary Patterns and Spatial Distribution of Dominant Patterns
In this paper, we propose a new feature extraction method, which is robust against rotation and histogram equalization for texture classification. To this end, we introduce the co...
Shu Liao, Albert C. S. Chung