Concrete crack detection method based on image distance transformation

Abstract

The invention relates to a concrete crack detection method based on image distance transformation. The method comprises: step one, a computer reads an original concrete crack image and carries out preprocessing on the image to obtain a smooth image; step two, a gradient value of the smooth image is calculated; step three, a pixel point of a maximum value of the smooth image is marked; step four, crack seed points in the smooth image are marked; step five, the crack seed points are connected; step six, connecting lines of some seed points are cut off; and step seven, crack parameter informationis obtained. According to the invention, the method can be applied to the field of concrete crack detection; and with the image processing technology, the number, length, and width information of thecrack is obtained from the concrete crack image continuously at a high speed. Because of the pixel gradient value symmetric analysis method, the computing load of the crack connection is reduced by using the image distance transform fully. The concrete crack detection method has characteristics of great anti-background interference capability, high detection accuracy, and high detection speed.

Description

technical field [0001] The invention belongs to the technical field of physics, and further relates to a concrete crack detection method based on image distance transformation in the technical field of image processing. The invention can be applied to the field of concrete crack detection, and can quickly obtain data such as the length, width, and quantity of cracks from concrete crack images through image processing technology, and judge the disease degree of concrete through these data. Background technique [0002] Information such as the length, width and quantity of concrete cracks is an important index to measure the degree of concrete disease. Among the common methods of obtaining concrete crack information: the vernier caliper measurement method is a manual operation, which has low efficiency and poor accuracy, and may cause certain dangers to workers in the concrete bridge scene; the infrared analysis method has a faster measurement speed and higher accuracy, but T...

AI Technical Summary

Problems solved by technology

Although this method can detect cracks, the shortcoming of this method is that the generation of crack feature maps by calculating the rarity probability of pixels cannot exclude the interference of background pixels similar to crack pixels, and multiple extraction of cracks by threshold segmentation results in a large amount of calculation. Too big, time consuming

Although this method has simple steps and low computational complexity, the disadvantage of this method is that the effect of smoothing filtering on eliminating noise is very limited. In the subsequent processing, the image contains a lot of background noise. For the edge The detection caused a lot of interference, resulting in low detection accuracy, which further led to large errors in the information such as the length and area of ​​the crack, which caused great difficulties for practical applications.

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