24 September 2014 Automated defect detection in textured materials using wavelet-domain hidden Markov models
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Optical Engineering, 53(9), 093107 (2014). doi:10.1117/1.OE.53.9.093107
Abstract
An approach that addresses defect detection in textured surfaces based on the wavelet-domain hidden Markov tree (HMT) model is proposed. The proposed scheme includes two successive stages, i.e., training and inspection. During the training process, an HMT for the wavelet transform (WT) of an
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Guang-Hua Hu, Guo-Hui Zhang, Qing-Hui Wang, "Automated defect detection in textured materials using wavelet-domain hidden Markov models," Optical Engineering 53(9), 093107 (24 September 2014). http://dx.doi.org/10.1117/1.OE.53.9.093107
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KEYWORDS
Defect detection

Image segmentation

Inspection

Expectation maximization algorithms

Wavelets

Image restoration

Discrete wavelet transforms

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