This paper employs digital image processing techniques to identify damage contours and analyze geometric features in non-destructive testing (NDT) images of composite laminates. Low-velocity impact damage was introduced to test specimens via a drop-weight impact test. Ultrasonic C-scan was used to capture internal damage images, followed by digital image processing steps including noise reduction, threshold segmentation, interior filling, and boundary extraction. Based on geometric morphology principles, irregular damage contours were fitted into equivalent ellipses to extract geometric parameters. The proposed method offers an accurate and efficient approach for characterizing impact damage in composites.

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Digital Image Recognition and Analysis of Impact Damage in Composite Materials

  • Xiahan Wang,
  • Wu Wang,
  • Zhanwen Zhao,
  • Shengchun Yang

摘要

This paper employs digital image processing techniques to identify damage contours and analyze geometric features in non-destructive testing (NDT) images of composite laminates. Low-velocity impact damage was introduced to test specimens via a drop-weight impact test. Ultrasonic C-scan was used to capture internal damage images, followed by digital image processing steps including noise reduction, threshold segmentation, interior filling, and boundary extraction. Based on geometric morphology principles, irregular damage contours were fitted into equivalent ellipses to extract geometric parameters. The proposed method offers an accurate and efficient approach for characterizing impact damage in composites.