A multi-scale and multi-orientation image retrieval method based on rotation-invariant texture features

DOI10.1007/s11432-011-4207-xzbMath1237.94011OpenAlexW1977805575MaRDI QIDQ415949

Zhenfeng Shao, Deren Li, Xianqiang Zhu

Publication date: 9 May 2012

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-011-4207-x

zbMATH Keywords

Radonlog-polarNSCTrotation-invariant texture retrieval

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Content-based image retrieval using high-dimensional information geometry

Uses Software

• NeTra
• NSCT toolbox

Cites Work

• A survey of content-based image retrieval with high-level semantics
• Learning how to extract rotation-invariant and scale-invariant features from texture images
• Rotation-invariant texture classification
• Invariant Description and Retrieval of Planar Shapes Using Radon Composite Features

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