Automated visual inspection system for wood defect classification using computational intelligence techniques

DOI10.1080/00207720802630685zbMath1161.94310OpenAlexW2079503924WikidataQ62752264 ScholiaQ62752264MaRDI QIDQ3626900

Pablo A. Estévez, Gonzalo A. Ruz, Pablo A. Ramírez

Publication date: 14 May 2009

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720802630685

zbMATH Keywords

image segmentationmulti-class support vector machinesAVI systemswood defect classification

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Cites Work

• Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks
• Color image segmentation: advances and prospects
• Color image segmentation based on homogram thresholding and region merging

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