List of Articles Weld Defect

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  1 - extraction defects of radiographic images using local information in transform domain
  zahra mousavi Ahmad Keshavarz
  Radiography is one of most common methods for testing the quality of weld. At present radiographic images are interpreted by humans. In order to increase accuracy and speed of interpretation and costs decrease ,We are looking for a way to automatic detect of weld d More

  Radiography is one of most common methods for testing the quality of weld. At present radiographic images are interpreted by humans. In order to increase accuracy and speed of interpretation and costs decrease ,We are looking for a way to automatic detect of weld defects. The correct extraction of defects is The most important step to automatic processing.  Therefore ,in this paper a new strategy to extract the weld defects using image processing techniques is proposed.  In the proposed method after segmentation Region Of Interest (ROI), histogram matching and Weiner filter were used to remove noise and enhance the quality of image, then For optimum utilization of image data in different directions, Wavelet transform is used. Afterward by applying techniques such as local thresholding, morphology and edge detection on the components of the wavelet transform defect area of Radiography images was extracted Manuscript profile
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  2 - Microstructure Investigation and Mechanical Properties of Resistance Upset Butt Welded Ti-6Al-4V Alloy
  Mahmood Sharifitabar
  10.30495/admt.2020.1891939.1170
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• Open Access Article
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  3 - Improvement of Industrial Radiography for Defect Detection of Oil and Gas Pipelines in Weld Regions by Image Processing
  Ali Reza Karimian Monir Torabian Mohammad Reza Yazdchi
  Industrial Radiography is one of the oldest and most usable of non-destructive methods for studying the defects inside the weld regions of pipelines. It sounds, to increase the quality of radiographic images inside the film and to decrease the weld commentary errors. It More

  Industrial Radiography is one of the oldest and most usable of non-destructive methods for studying the defects inside the weld regions of pipelines. It sounds, to increase the quality of radiographic images inside the film and to decrease the weld commentary errors. It is necessary to have a system or method to improve the accuracy of recognition and detection of defects in the weld regions. In this research work, by using digital image processing methods, a new method has been proposed to improve the quality of the images on radiographic films of weld regions. The proposed method has been tested by 60 pieces of radiographic films of weld regions with different quality.  The results showed the proposed algorithm and method has the ability to detect the defects inside the weld regions with 100% precision for the films with high and normal quality and with 87% and 47% precisions for the films with low and very low qualities respectively. Manuscript profile