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ICIP
2006
IEEE
13 years 10 months ago
A Hierarchical Approach to Rotation-Invariant Texture Feature Extraction Based on Radon Transform Parameters
In this paper, we propose an efficient hierarchical method for extracting invariant texture features using the Gabor wavelets and Radon transform parameters. The proposed method a...
Mahmoud R. Hejazi, Yo-Sung Ho
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
BMVC
1998
13 years 5 months ago
A Comparative Study of Rotation Invariant Classification and Retrieval of Texture Images
This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. Human subjects are included as a benchmark for the computational methods. Experi...
Stephanie R. Fountain, Tieniu Tan, Keith D. Baker
TIP
2008
138views more  TIP 2008»
13 years 4 months ago
Rotation-Invariant Texture Retrieval via Signature Alignment Based on Steerable Sub-Gaussian Modeling
This paper addresses the construction of a novel efficient rotation-invariant texture retrieval method that is based on the alignment in angle of signatures obtained via a steerabl...
George Tzagkarakis, Baltasar Beferull-Lozano, Pana...
IVC
2007
191views more  IVC 2007»
13 years 4 months ago
Rotation-invariant and scale-invariant Gabor features for texture image retrieval
Conventional Gabor representation and its extracted features often yield a fairly poor performance in retrieving the rotated and scaled versions of the texture image under query. ...
Ju Han, Kai-Kuang Ma