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JDCTA
2010
170views more  JDCTA 2010»
12 years 11 months ago
Color and Texture Feature For Content Based Image Retrieval
Content based image retrieval (CBIR) has been one of the most important research areas in computer science for the last decade. A retrieval method which combines color and texture...
Jianhua Wu, Zhaorong Wei, Youli Chang
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
TIP
2008
146views more  TIP 2008»
13 years 4 months ago
Image Modeling Using Interscale Phase Properties of Complex Wavelet Coefficients
This paper describes an approach to image modelling using interscale phase relationships of wavelet coefficients for use in image estimation applications. The method is based on th...
Mark Miller, Nick G. Kingsbury
TIP
2002
133views more  TIP 2002»
13 years 4 months ago
Wavelet-based rotational invariant roughness features for texture classification and segmentation
In this paper, we introduce a rotational invariant feature set for texture segmentation and classification, based on an extension of fractal dimension (FD) features. The FD extract...
Dimitrios Charalampidis, Takis Kasparis
ICIP
2003
IEEE
14 years 6 months ago
Design of Q-shift complex wavelets for image processing using frequency domain energy minimization
This paper proposes a new method of designing finitesupport wavelet filters, based on minimization of energy in key parts of the frequency domain. In particular this technique is ...
Nick G. Kingsbury