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» Integrating Color, Texture, and Geometry for Image Retrieval
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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
ICIP
2002
IEEE
14 years 6 months ago
Color texture moments for content-based image retrieval
In this paper, we adopt local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of co-occurrence relations...
Hui Yu, Mingjing Li, HongJiang Zhang, Jufu Feng
ICAPR
2009
Springer
13 years 11 months ago
Color Image Retrieval Using M-Band Wavelet Transform Based Color-Texture Feature
—Feature Extraction algorithm is a very important component of any retrieval scheme. We propose M-band Wavelet Transform based feature extraction algorithm in this paper. The MxM...
Malay Kumar Kundu, Priyank Bagrecha
ICTAI
2002
IEEE
13 years 9 months ago
A Clustering Based Approach to Efficient Image Retrieval
This paper addresses the issue of effective and efficient content based image retrieval by presenting a novel indexing and retrieval methodology that integrates color, texture, an...
Ruofei Zhang, Zhongfei Zhang
VISUAL
2000
Springer
13 years 8 months ago
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
In image retrieval, global features related to color or texture are commonly used to describe the image. The use of interest points in contentbased image retrieval allows image ind...
Etienne Loupias, Nicu Sebe