Journal
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
Volume 129, Issue 5, Pages 926-933Publisher
ASME-AMER SOC MECHANICAL ENG
DOI: 10.1115/1.2752519
Keywords
seam detection; discrete wavelet transform (DWT); feature extraction; T-2 control chart
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This paper describes the development of an on-line quality inspection algorithm for detecting the surface defect seam generated in rolling processes. A feature-preserving snake-projection method is proposed for dimension reduction by converting the suspicious seam-containing images to one-dimensional sequences. Discrete wavelet transform is then performed on the sequences for feature extraction. Finally, a T-2 control chart is established based on the extracted features to distinguish real seams from false positives. The snake-projection method has two parameters that impact the effectiveness of the algorithm. Thus, selection of the parameters is discussed. Implementation of the proposed algorithm shows that it satisfies the speed and accuracy requirements for on-line seam detection.
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