Geometric invariant features in the Radon transform domain for near-duplicate image detection

DOI10.1016/J.PATCOG.2014.05.009zbMath1373.68434OpenAlexW2017037483MaRDI QIDQ1676945

Yanqiang Lei, Ligang Zheng, Jiwu Huang

Publication date: 10 November 2017

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2014.05.009

zbMATH Keywords

Radon transformgeometric invariantsnear-duplicate image detection

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Uses Software

• SIFT

Cites Work

• Unnamed Item
• Invariant pattern recognition using the RFM descriptor
• Combined blur, translation, scale and rotation invariant image recognition by Radon and pseudo-Fourier-Mellin transforms
• Scaling and rotation invariant analysis approach to object recognition based on Radon and Fourier-Mellin transforms
• A novel image hash algorithm resistant to print-scan
• Invariant Description and Retrieval of Planar Shapes Using Radon Composite Features
• Radon Representation-Based Feature Descriptor for Texture Classification
• Modeling the shape of the scene: A holistic representation of the spatial envelope

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