Intelligent detecting method for cracks of concrete structures

Abstract

Disclosed is an intelligent detecting method for cracks of concrete structures. The method includes the steps: (a), calibrating a camera; (b), intercepting a single crack in a zone to be processed of an obtained image; (c), subjecting the single crack image to image intensification and threshold segmentation binaryzation operation; (d), connecting and filling binary images obtained in step (c) for extracting a target zone contour, and obtaining a crack zone after pruning; (e), obtaining an actual width value of the crack based on a unit pixel length a on the image plane obtained in step (a); (f), drawing a crack skeleton, locating a starting point and a stopping point of the crack, and obtaining the crack length; obtaining the crack starting point position based on the crack starting point position and the initial boundary position of the single crack image zone obtained in step (b); (g), repeating the operation in steps (b), (c) and (d), and obtaining widths, lengths and crack starting point positions of adjacent cracks to obtain the distance between two adjacent cracks.

Description

technical field [0001] The invention relates to an intelligent detection method for cracks in concrete structures, in particular to an intelligent detection technology based on image processing technology for non-contact, remote and automatic extraction of crack characteristic information for cracks in concrete structures. Background technique [0002] The compressive strength of concrete is high, but the tensile strength is low. Therefore, cracks are "common occurrences" of concrete structures. The damage and even the collapse of the structure often start from the development of cracks, and the crack problem will eventually become a safety problem of the structure. Therefore, it is necessary to accurately identify and locate the cracks in the structure, grasp the characteristic information of the cracks, and provide information for the analysis of the cause of the structure's disease and the accurate assessment of the health status. The traditional crack detection method i...

AI Technical Summary

Problems solved by technology

The traditional crack detection method is the visual method, which requires many manual operations and lacks objectivity and authority; it is time-consuming and laborious, with large errors and low efficiency

Advanced non-destructive testing methods such as elastic wave method, electromagnetic wave method, and sensing instrument detection method have the disadvantages of expensive instruments, small measurement range, and inability to fully realize non-contact measurement.

In recent years, the photographic method based on image processing has been rapidly developed to obtain the width of cracks in local areas, and the information is single.

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