콘크리트 균열 깊이 추정에 유의미한 이미지 특성 변수에 관한 연구

A study on the meaningful characteristic variables of the image for estimating the depth of concrete cracks

Since the depth of concrete cracks is important information for evaluating the safety of facilities, a technology capable of accurately and quickly measuring the depth of cracks is needed. However, in the facility maintenance practice, the crack depth is measured through non-destructive testing using ultrasonic equipment. This method has the disadvantage of poor efficiency. Such limitations of existing technologies can be solved through the development of image-based crack depth measurement technology. This is because if the crack depth measurement is based on an image, restrictions on the timing and location of the inspection can be resolved. In order for such image-based crack depth measurement technology to be developed, identification of image characteristic variables related to crack depth must precede. Therefore, the purpose of this study was to identify image characteristic variables meaningful to the crack depth. In order to achieve the purpose of the study, we collected 100 actual cases of cracking, measured the crack depth, and took an image. In addition, we created a dataset by extracting image characteristic variables such as hue, luminance, and brightness from the captured image through image processing technology. Using the thus-produced dataset, we conducted statistical analysis to identify significant image characteristic variables for crack depth estimation.