Adaptive fusion of color and spatial features for noise-robust retrieval of colored logo and trademark images

DOI10.1007/S11045-016-0382-7zbMath1441.94031OpenAlexW2283543653MaRDI QIDQ337938

Yijun Yan, Yinsheng Li, Winifred Ijomah, Kuo-Ming Chao, James F. C. Windmill, Jinchang Ren

Publication date: 3 November 2016

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://strathprints.strath.ac.uk/55620/

zbMATH Keywords

dominant coloradaptive fusionlogo and trademark retrievalnoise-robust image retrievalspatial layout

Mathematics Subject Classification ID

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

Related Items (1)

Special issue on Multimodal data fusion for multidimensional signal processing

Cites Work

• Effective image retrieval using dominant color descriptor and fuzzy support vector machine
• An effective solution for trademark image retrieval by combining shape description and feature matching
• Trademark image retrieval using synthetic features for describing global shape and interior structure
• Least squares and least absolute deviation procedures in approximately linear models
• Color and spatial feature for content-based image retrieval
• Least squares quantization in PCM

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