Correlation Analysis between Crack Depth of Concrete and Characteristics of Images

콘크리트 균열 깊이와 이미지 특성정보간의 상관성 분석

  • 정서영 (광운대학교 건축공학과) ;
  • 유정호 (광운대학교 건축공학과)
  • Published : 2021.05.20

Abstract

Currently, the depth of cracks is measured using ultrasonic detectors in maintenance practice. This method consists of measuring the depth of cracks by attaching ultrasonic depth measuring equipment to the concrete surface, and there are restrictions on the timing and location of the inspection. These limitations can be addressed through the development of image-based crack depth measurement AI technology. If crack depth measurements are made based on images, restrictions on the timing and location of inspections can be lifted because images acquired with simple filming equipment can be used as input information. To efficiently develop these artificial intelligence technologies, it is essential to identify the interrelationship between crack depth measurements and image characteristic information. Thus, this study is a basic study of the development of image-based crack depth measurement AI technology and aims to identify image characteristic information related to crack depth.

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Acknowledgement

이 논문은 2021년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임. (No. NRF-2020R1F1A1075177)