Application of two dimensional wavelet for defect detection in steel process

M. Sadeghi, Shokoufeh Sadat Valadie Some Saraie, A. Mahdeian
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引用次数: 3

Abstract

In any industry, quality control is an essential and inevitable part of process. Defect detection in steel plates, is one of the most important quality control steps in steel process. Image processing is a dominant technique to recognize defect in steel plates. In this paper a fast and precise solution for detection of this type of defects by using 2D wavelet is introduced. The result show considerable improvement and Precision and speed of this suggested approach is compared to the previous methods.
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二维小波在钢铁工艺缺陷检测中的应用
在任何行业中,质量控制都是过程中必不可少的一部分。钢板缺陷检测是钢铁生产过程中最重要的质量控制步骤之一。图像处理是钢板缺陷识别的主流技术。本文介绍了一种利用二维小波快速、精确地检测这类缺陷的方法。结果表明,该方法在精度和速度上都比以前的方法有了很大的提高。
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