On-Line Seam Detection in Rolling Processes Using Snake Projection and Discrete Wavelet Transform  

Oleh:

Jing Li ; Jianjun Shi ; Tzyy-Shuh Chang

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Manufacturing Science and Engineering vol. 129 no. 5 (Oct. 2007), page 926-933.
Topik: Seam Detection; Discrete Wavelet Transform (DWT); Feature Extraction; T2 Control Chart

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ93.10 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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 T2 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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