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» Color and Texture Feature For Content Based Image Retrieval
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JDCTA
2010
170views more  JDCTA 2010»
13 years 4 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
BMVC
2001
13 years 11 months ago
Salient Points for Content-Based Retrieval
In image retrieval, global features related to color or texture are commonly used to describe the image content. The use of interest points in contentbased image retrieval allows ...
Nicu Sebe, Michael S. Lew
ICAPR
2009
Springer
14 years 3 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
IV
2000
IEEE
123views Visualization» more  IV 2000»
14 years 1 months ago
Content-Based Image Visualization
The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...
Chaomei Chen, George Gagaudakis, Paul L. Rosin
AIPR
2004
IEEE
14 years 1 months ago
An Image Retrieval System Using Multispectral Random Field Models, Color, and Geometric Features
This paper describes a novel color texture-based image retrieval system for the query of an image database to find similar images to a target image. The retrieval process involves...
Orlando J. Hernandez, Alireza Khotanzad