FUZZY ART-BASED IMAGE CLUSTERING METHOD FOR CONTENT-BASED IMAGE RETRIEVAL

DOI10.1142/S0219622007002496zbMath1135.68388MaRDI QIDQ3502941

Dong-Sik Jang, Kwang-Kyo Seo, Sang-Sung Park

Publication date: 20 May 2008

Published in: International Journal of Information Technology & Decision Making (Search for Journal in Brave)

zbMATH Keywords

content-based image retrievalfeature vectorimage clusteringFuzzy ART

Mathematics Subject Classification ID

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

Related Items (3)

A NEW METHOD OF MEDICAL IMAGE RETRIEVAL BASED ON COLOR–TEXTURE CORRELOGRAM AND GTI MODEL ⋮ UNSUPERVISED LEARNING BASED DISTRIBUTED DETECTION OF GLOBAL ANOMALIES ⋮ FUZZY, DISTRIBUTED, INSTANCE COUNTING, AND DEFAULT ARTMAP NEURAL NETWORKS FOR FINANCIAL DIAGNOSIS

Uses Software

• VisualSEEk
• NeTra
• PicToSeek

Cites Work

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• Extraction of major object features using VQ clustering for content-based image retrieval
• A massively parallel architecture for a self-organizing neural pattern recognition machine
• Shape Matching Using Relaxation Techniques
• Fourier Descriptors for Plane Closed Curves
• A robust-invariant pattern recognition model using Fuzzy ART

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