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ICAPR
2009
Springer
13 years 12 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
JDCTA
2010
170views more  JDCTA 2010»
13 years 6 days 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
IADIS
2008
13 years 6 months ago
Subspace Orthogonal Projection for Texture Segmentation with Wavelet Frames
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
Mahmoud K. Quweider
ICIP
2003
IEEE
14 years 7 months ago
Image segmentation by spatially adaptive color and texture features
We present an image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm is based on a previously proposed algorithm but i...
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra M...
ICIP
2000
IEEE
14 years 7 months ago
Classification of Textured and Non-Textured Images Using Region Segmentation
The classification of general-purpose photographs into textured and non-textured images is critical for developing accurate content-based image retrieval systems for large-scale i...
Jia Li, James Ze Wang, Gio Wiederhold