Bridge crack detection method based on image regeneration

A detection method and image technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as inability to accurately extract and detect cracks, achieve the effects of reducing uneven illumination, increasing pixel differences, and strong applicability

Active Publication Date: 2019-10-01
SHAANXI NORMAL UNIV
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Problems solved by technology

[0005] In order to solve the problem that the cracks cannot be accurately extracted and detected in the prior art, the present invention provides a bridge crack detection method based on image regeneration, aiming at complex Changeable bridge crack images, the bridge cracks detected by this method conform to the real area of ​​the cracks, there is almost no noise interference, and the precise location and extraction of cracks is realized

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  • Bridge crack detection method based on image regeneration
  • Bridge crack detection method based on image regeneration
  • Bridge crack detection method based on image regeneration

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with specific examples, but the embodiments of the present invention are not limited thereto.

[0032] The bridge crack detection method based on image regeneration includes: image calculation based on image pixel gray value, image enhancement based on gamma transformation, image regeneration based on image histogram, and crack extraction and location. This embodiment is gradually constructed through experiments. The sequence of the image regeneration method, the process schematic diagram of the bridge crack detection method in this embodiment is as follows figure 1 shown.

[0033] The background of the original bridge crack image is complex and changeable. In order to reduce the interference of the background on the crack detection as much as possible and enhance the pixel difference between the background and the crack, this embodiment adopts the operation of image subtraction. The backgro...

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Abstract

The invention particularly relates to a bridge crack detection method based on image regeneration. The bridge crack detection method comprises the steps: carrying out image operation, wherein image subtraction operation is carried out on equal-size pure color images with different pixel values and an original bridge crack image to determine a final background image to be adopted; image enhancement: carrying out image enhancement by adopting a conversion formula based on gamma transformation; image regeneration: carrying out image regeneration according to a histogram of the bridge crack image,setting a pixel value boundary as a fixed value, removing an original background of the image according to a fixed threshold value, keeping cracks, and setting a background color of the regenerated crack image as a single color to obtain a bridge crack image with the background being the single color; carrying out crack extraction and positioning. The bridge crack detection method can detect andposition cracks of various types of bridge crack images, and is high in the applicability, and the detected cracks can reflect the actual crack condition, and noise interference is almost avoided, andaccurate positioning and extraction of the cracks are achieved.

Description

technical field [0001] The invention belongs to the fields of computer vision, digital image processing and machine learning, and in particular relates to a bridge crack detection method based on image regeneration. Background technique [0002] The safety and durability of bridges is related to the national economy and people's livelihood of our country, so bridges must be monitored regularly. Especially in recent years, bridge collapse accidents in many places in my country are frequent, which not only caused huge economic losses to the country, but also had a great negative impact on the society. Therefore, more and more attention is paid to the monitoring of bridges, and the monitoring of bridge cracks is particularly important to ensure the safety of bridges, so the research on bridge crack detection methods is of great significance. [0003] With the development of computer vision and digital image processing, scholars at home and abroad have applied digital image pro...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T5/00
CPCG06T7/0002G06T7/13G06T5/005Y02A10/40
Inventor 李良福冯建云宋睿
Owner SHAANXI NORMAL UNIV
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