CONCRETE SURFACE CRACK DEFECT DETECTION BY USING IMAGE PROCESSING: A SHORT REVIEW

Abstract

In the early stages of structural degradation, cracks in the concrete surface area are an important maintenance indicator as well as an environmental hazard owing to extended exposure. Manual inspections are a well-known crack assessment method. In the course of a physical examination, a fracture drawing is created by hand and the circumstances of the irregularities are recorded. The quantitative analysis lacks objectivity since the manual approach is completely dependent on the expert's knowledge and expertise. As a result, an alternative to image-based automatic fracture identification is provided. The study's primary goal was to examine and evaluate an image processing-based technique for identifying fractures and identifying the main problem in image processing for crack detection. Image processing may be used to locate cracks in a variety of methods, according to the literature. As a result, a review of 10 years period for image processing of crack analysis in concrete concluded that three main problems in image processing are undetected crack, long processing period and presence of interference object. Besides, the major image processing technique that is being used for crack analysis is the Otsu thresholding method, Sobel edge detection method and Canny method.