Detection for transverse corner cracks of steel plates’ surface using wavelet

doi:10.1007/s11465-009-0017-x

Front Mech Eng Chin

2009, Vol. 4

Issue (2) : 224-227 https://doi.org/10.1007/s11465-009-0017-x

RESEARCH ARTICLE

Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN(

)

School of Mechanical and Power Engineering of East China University of Science and Technology, Shanghai 200237, China

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Abstract

An algorithm is presented for detecting transverse corner cracks at a steel plate surface using wavelet transform. According to characteristics of transverse corner crack images, the wavelet transform is used for the multi-scale analysis of detecting the image edges and disintegrating the image into four directions at the same time. The proper threshold value is chosen to segment the image into vertical components to obtain the final detection result. The experiment shows that transverse corner cracks of steel plates can be more effectively extracted by the proposed method than the other two common methods.

Keywords transverse corner cracks defect detection multi-scales wavelet analysis

Corresponding Author(s): AN Qi,Email:anqi@ecust.edu.cn

Issue Date: 05 June 2009

Cite this article:

Qiong ZHOU,Qi AN. Detection for transverse corner cracks of steel plates’ surface using wavelet[J]. Front Mech Eng Chin, 2009, 4(2): 224-227.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-009-0017-x
https://academic.hep.com.cn/fme/EN/Y2009/V4/I2/224

Fig.1 Image of transverse corner crack on the surface of the slab collected from a steel-making site

Fig.2 Wavelet transform under multi-scales. (a) Original image; (b) scale of 2 (=1); (c) scale of 2 (=2); (d) scale of 2 (=3)

Fig.3 Comparison with the single-scale wavelet analysis. (a) Single-scale; (b) multi-scale wavelet analysis

Fig.4 Comparison with method of conventional threshold. (a) Method of conventional threshold; (b) after binarization process

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