Automatic detection of weld defects based on hough transform
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2019Editorial
IEEECita bibliográfica
C. AJMI, S. E. FERCHICHI, A. ZAAFOURI and K. LAABIDI, "Automatic Detection of Weld Defects Based on Hough Transform," 2019 International Conference on Signal, Control and Communication (SCC), 2019, pp. 1-6, doi: 10.1109/SCC47175.2019.9116162.Palabras clave
Weld defectRadiography
NDT
Hough transform
Canny
Adaptative thresholding
Resumen
Weld defect detection is an important application in the field of Non-Destructive Testing (NDT). These defects are mainly due to manufacturing errors or welding processes. In this context, image processing especially segmentation is proposed to detect and localize efficiently different types of defects. It is a challenging task since radiographic images have deficient contrast, poor quality and uneven illumination caused by the inspection techniques. The usual segmentation technique uses a region of interest ROI from the original image. In this article, a robust and automatic method is presented to detect linear defect from the original image without selection of ROI based on canny detector and a modified `Hough Transform' technique. This task can be subdivided into the following steps: firstly, preprocessing step with Gaussian filter and contrast stretching; secondly, segmentation technique is used to isolate weld region from background and non-weld using Adaptative Thresholding and to ...
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