Binary Gabor pattern (BGP) descriptor and principal component analysis (PCA) for steel surface defects classification

Research article (2020 International Conference on Advanced Aspects of Software Engineering (ICAASE), 2020) · cited 17× · AI/ML
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Binary Gabor pattern (BGP) descriptor and principal component analysis (PCA) for steel surface defects classification

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Binary Gabor pattern (BGP) descriptor and principal component analysis (PCA) for steel surface defects classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Binary Gabor pattern (BGP) descriptor and principal component analysis (PCA) for steel surface defects classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/binary-gabor-pattern-bgp-descriptor-and-principal-component-analysis-pca-for-steel-surface-defects-classification
MLA “Binary Gabor pattern (BGP) descriptor and principal component analysis (PCA) for steel surface defects classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/binary-gabor-pattern-bgp-descriptor-and-principal-component-analysis-pca-for-steel-surface-defects-classification.
BibTeX @misc{4ortxyz_binary-gabor-pattern-bgp-descriptor-and-principal-component-analysis-pca-for-steel-surface-defects-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Binary Gabor pattern (BGP) descriptor and principal component analysis (PCA) for steel surface defects classification}}, year = {2026}, url = {https://4ort.xyz/entity/binary-gabor-pattern-bgp-descriptor-and-principal-component-analysis-pca-for-steel-surface-defects-classification}, note = {Accessed: 2026-05-24}}
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