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» Comparison of Texture Features Based on Gabor Filters
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TIP
2008
261views more  TIP 2008»
13 years 7 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
BIOID
2008
157views Biometrics» more  BIOID 2008»
13 years 9 months ago
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction
Abstract. Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data th...
Daniel González-Jiménez, José...
MVA
2000
234views Computer Vision» more  MVA 2000»
13 years 7 months ago
An automatic assessment scheme for steel quality inspection
This paper presents an automatic system for steel quality assessment, by measuring textural properties of carbide distributions. In current steel inspection, specially etched and p...
Klaus Wiltschi, Axel Pinz, Tony Lindeberg
DICTA
2007
13 years 9 months ago
An in Depth Comparison of Four Texture Segmentation Methods
Texture segmentation is the process of partitioning an image into regions with different textures containing similar group of pixels. This paper presents a comparative study of fo...
Vamsi Krishna Madasu, Prasad K. D. V. Yarlagadda
ICPR
2008
IEEE
14 years 9 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl