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Volumn 44, Issue 3, 2012, Pages 147-152

Defect detection on magnetic tile surfaces based on fast discrete Curvelet transform and support vector machine

Author keywords

Curvelet transform; Support vector machines; Surface defects; Textures

Indexed keywords

ANALYSIS METHOD; CURVELET COEFFICIENTS; CURVELET TRANSFORMS; DEFECT DETECTION; DIFFERENT SCALE; FEATURE VECTORS; LOW-INTENSITY; ORIGINAL IMAGES; RETRIEVAL ACCURACY;

EID: 84863189586     PISSN: 10093087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (14)
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  • 2
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    • A study of the detection of the interlayer surface defect of arc-magnets
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  • 3
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  • 4
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    • Remote sensing image fusion using the curvelet transform
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  • 5
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  • 7
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    • A recognition and novelty detection approach based on curvelet transform, nonlinear PCA and SVM with application to indicator diagram diagnosis
    • Feng Kun, Jiang Zhinong, He Wei, et al. A recognition and novelty detection approach based on curvelet transform, nonlinear PCA and SVM with application to indicator diagram diagnosis [J]. Expert Systems with Applications, 2011, 38(10): 12721-12729.
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    • Feng, K.1    Jiang, Z.2    He, W.3
  • 8
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    • Curvelets - A surprisingly effective non-adaptive representation for objects with edges
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  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.