Trademark image retrieval using synthetic features for describing global shape and interior structure

DOI10.1016/j.patcog.2008.08.019zbMath1181.68259OpenAlexW2089760990MaRDI QIDQ1005643

Chang-Tsun Li, Wing-Yin Chau, Yue Li, Chia-Hung Wei

Publication date: 9 March 2009

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.08.019

zbMATH Keywords

feature extractioncontent-based image retrievalZernike momentstrademark image retrievalmultimedia database

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (6)

Adaptive fusion of color and spatial features for noise-robust retrieval of colored logo and trademark images ⋮ Stable, fast computation of high-order Zernike moments using a recursive method ⋮ Shape classification by manifold learning in multiple observation spaces ⋮ A parallel recurrence method for the fast computation of Zernike moments ⋮ An effective solution for trademark image retrieval by combining shape description and feature matching ⋮ Efficient computations for generalized Zernike moments and image recovery

Cites Work

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• Integrated probability function and its application to content-based image retrieval by relevance feedback.
• Deformed trademark retrieval based on 2D pseudo-hidden Markov model
• Content-based retrieval from trademark databases
• Content-based similarity retrieval of trademarks using relevance feedback

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