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Edge detection-based wall body crack identification method

A crack recognition and edge detection technology, applied in the field of digital image recognition, can solve the problems of large amount of calculation, poor real-time performance, difficult to remove dirt, poor adaptability of interference items, etc. Effect

Inactive Publication Date: 2017-05-10
ELECTRIC POWER SCI RES INST OF GUIZHOU POWER GRID CO LTD +1
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  • Application Information

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a wall crack recognition method based on edge detection, so as to solve the problem that in the prior art, the detection method of substation wall cracks adopts a simple grayscale threshold for binarization, and it is difficult to remove dirt. etc., leading to poor adaptability of interference items; or technical problems such as the use of complex algorithms such as neural networks, large amount of calculation, and poor real-time performance

Method used

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  • Edge detection-based wall body crack identification method
  • Edge detection-based wall body crack identification method
  • Edge detection-based wall body crack identification method

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Embodiment Construction

[0028] A method for identifying wall cracks based on edge detection, comprising:

[0029] Step 1, wall image acquisition;

[0030] The wall image acquisition described in step 1 is taken by a CCD lens or a digital camera. The present invention uses the visible light camera on the inspection robot to photograph the surface of the wall to obtain high-definition wall images.

[0031] Step 2, image preprocessing;

[0032] The image preprocessing method described in step 2 is: first grayscale the collected original image, and use the gray average value of the OpenCV library to carry out weighted average of the red R, green G, and blue B channels of the original image, i.e. Gray=0.072169B+ 0.715160G+0.212671R to obtain a grayscale image; then Gaussian filtering is performed on the obtained grayscale image, and a 3×3 template is used for calculation to eliminate isolated points.

[0033] Step 3, crack edge extraction;

[0034] The method of crack edge extraction described in step...

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Abstract

The invention discloses an edge detection-based wall body crack identification method. The method comprises the steps of 1, acquiring a wall body image; 2, preprocessing the image; 3, extracting a crack edge; 4, filtering background noises; and 5, identifying a wall body crack. The technical problems of poor disturbance term adaptability caused by difficult dirt removal and the like due to adoption of a simple set grayscale threshold for performing binarization, or large calculation amount, poor real-time property and the like due to application of complex algorithms such as a neural network algorithm and the like in a substation wall body crack detection method in the prior art are solved.

Description

technical field [0001] The invention belongs to digital image recognition technology, in particular to a wall crack recognition method based on edge detection. Background technique [0002] There will be gaps inside the wall material. In the natural environment such as long-term wind, rain, and sun, it will be affected by factors such as temperature stress. The gaps may be catalyzed and enlarged to form cracks on the surface. As the cracks continue to expand, it will cause safety problems. Hidden danger. Therefore, it is necessary to effectively detect wall cracks and evaluate their risks so as to prevent potential hazards. [0003] At present, the inspection of the wall condition in the substation is mainly completed by manual inspection. The inspection workload is heavy, and it is difficult to complete it on time in harsh environments. Moreover, human eye detection is highly subjective, and its reliability is low in some cases. [0004] With the development of computer ...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/136G06T7/194G01N21/88
CPCG01N21/8851G01N2021/8887G06T2207/10024
Inventor 徐长宝高吉普罗显跃张历杨华辛明勇林虎桂军国
Owner ELECTRIC POWER SCI RES INST OF GUIZHOU POWER GRID CO LTD
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