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» Complex Wavelet Features for Fast Texture Image Retrieval
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ICIP
1999
IEEE
14 years 6 months ago
Complex Wavelet Features for Fast Texture Image Retrieval
Peter De Rivaz, Nick G. Kingsbury
ISCAS
2006
IEEE
222views Hardware» more  ISCAS 2006»
13 years 10 months ago
Texture image retrieval using complex directional filter bank
— In this paper, the shift-invariant complex directional filter bank (CDFB) is proposed for texture image retrieval. By combining the Laplacian pyramid and the CDFB, a new image...
An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara
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
ICIP
2007
IEEE
14 years 6 months ago
Using Phase and Magnitude Information of the Complex Directional Filter Bank for Texture Image Retrieval
This paper discusses how to utilize both magnitude and phase information obtained from the complex directional lter bank (CDFB) for the purpose of texture image retrieval. The rel...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen
VCIP
2003
238views Communications» more  VCIP 2003»
13 years 6 months ago
Texture segmentation based on features in wavelet domain for image retrieval
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
Ying Liu, Si Wu, Xiaofang Zhou