ADAPTABLE ELLIPSE METHOD FOR BRIDGE COATING DEFECT RECOGNITION

  • Po-Han Chen (School of Civil and Environmental Engineering, Nanyang Technological University) ;
  • Ya-Ching Yang (Nanyang Technological University, Singapore and National Taiwan University) ;
  • Luh-Maan Chang (Dept. of Civil Engineering, National Taiwan University)
  • 발행 : 2009.05.27

초록

Image processing has been applied to steel bridge defect recognition since 1990s. Compare to human visual inspection, image processing provides a more objective and accurate way of assessment. Since shade and shadow may sometimes occur when taking bridge coating images, non-uniform illumination problems should be considered. By means of color image processing, this paper aims to mitigate the illumination effect for bridge coating assessment. Furthermore, the adaptable ellipse method (AEM) is proposed to recognize mild rust colors. Finally, AEM will be compared to the K-Means algorithm, a popular recognition method, to show its advantage.

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