Automatic defect detection on hot-rolled flat steel products

IEEE Transactions on Instrumentation and Measurement

Volumn 62, Issue 3, 2013, Pages 612-621

  Ghorai, Santanu ^a   Mukherjee, Anirban ^b   Gangadaran, M ^c   Dutta, Pranab K ^b  

^a HERITAGE INSTITUTE OF TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

^c STEEL AUTHORITY OF INDIA LIMITED   (India)

Author keywords

Automated visual inspection system; defect detection; discrete wavelet transform (DWT); kernel classifier; support vector machine (SVM)

Indexed keywords

AUTOMATED VISUAL INSPECTION SYSTEMS; AUTOMATIC DEFECT DETECTIONS; BIORTHOGONAL SPLINES; DAUBECHIES; DECOMPOSITION LEVEL; DEFECT CLASS; DEFECT DETECTION; DEFECT-FREE; DESCRIPTORS; DIFFERENT WAVELETS; FLAT STEEL PRODUCTS; HAAR FEATURES; HOT ROLLED STEELS; HOT-ROLLED; KERNEL CLASSIFIERS; KERNEL FUNCTION; LARGE SURFACES; MULTIWAVELET; NONOVERLAPPING; PHYSICS-BASED MODELS; REAL TIME; STEEL SURFACE; SURFACE IMAGE; TEXTURE-BASED SEGMENTATIONS; THREE-LEVEL; THRESHOLDING TECHNIQUES; VECTOR VALUED; WAVELET FEATURES;

DEFECTS; DISCRETE WAVELET TRANSFORMS; IMAGE SEGMENTATION; INSPECTION EQUIPMENT; LEARNING ALGORITHMS; STEELMAKING; SUPPORT VECTOR MACHINES; WAVELET DECOMPOSITION;

SURFACE DEFECTS;

EID: 84873713250     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2012.2218677     Document Type: Article

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