Component-based visual clustering using the self-organizing map

DOI10.1016/j.neunet.2006.10.004zbMath1114.68042OpenAlexW2016660452WikidataQ38400901 ScholiaQ38400901MaRDI QIDQ872419

Mustaq Hussain, John P. Eakins

Publication date: 27 March 2007

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.10.004

zbMATH Keywords

feature extractionsimilarity measuresimage segmentationcontent-based image retrievalself-organizing mapcomponent matchingtrademark image retrieval

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Information storage and retrieval of data (68P20)

Related Items

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

Uses Software

• GTM

Cites Work

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• PicSOM – content-based image retrieval with self-organizing maps
• On image analysis by the methods of moments
• A theory for multiresolution signal decomposition: the wavelet representation
• Fourier Descriptors for Plane Closed Curves
• Self-organizing maps.

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