Method for automatically identifying pavement diseases

A technology for automatic identification and disease, applied in image data processing, instruments, calculations, etc., can solve problems such as complex calculations and low identification efficiency, and achieve the effect of overcoming low contrast, efficient segmentation, and realizing segmentation

Active Publication Date: 2014-09-03
WUHAN WUDA ZOYON SCI & TECH
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  • Abstract
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Problems solved by technology

[0010] Various road conditions and the high noise and weak signal characteristics of road images, the existing methods generally have the problems of complex calculation and low recognition efficiency

Method used

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  • Method for automatically identifying pavement diseases
  • Method for automatically identifying pavement diseases
  • Method for automatically identifying pavement diseases

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Embodiment Construction

[0029] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, so that the advantages and characteristics of the present invention will become clearer along with the description.

[0030] Those skilled in the art can understand that although the following description involves many technical details related to the embodiments of the present invention, this is only an example for illustrating the principle of the present invention, and does not imply any limitation. The present invention can be applied to occasions other than the technical details exemplified below, as long as they do not deviate from the principle and spirit of the present invention.

[0031]In addition, in order to avoid making the description in this manual limited to redundant, in the description in this manual, some technical details that can be obtained in the existing technical documents may be omitte...

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Abstract

The invention discloses a method for automatically identifying pavement diseases. The method comprises the following steps of 1, converting an input pavement grey image into a binary image; 2, using a digital filter template for performing expansion processing and corrosion processing on the binary image obtained in the step 1; performing eight-communication mark on the image obtained in the step 2, obtaining the height and width of each communication area, and setting the communication area with the maximum value of the height and width smaller than the first preset threshold value to be black; 4, performing linear fitting on each communication area of the image obtained in the step 3, obtaining the length and direction vectors of a fitting line segment, obtaining the communication areas where the fitting segments with the length larger than the second preset threshold value are located, and taking the communication areas as seed areas; 5, obtaining confidence coefficients of all extended seed areas, if the maximum confidence coefficient is smaller than the confidence coefficient threshold value, judging that the diseases are not found in the pavement grey image, and if the maximum confidence coefficient is larger than a confidence coefficient threshold value, judging that the diseases are found in the pavement grey image.

Description

technical field [0001] The invention belongs to the technical field of non-destructive detection and evaluation of highway subgrade pavement, and in particular relates to an automatic identification method for asphalt pavement disease (for example, crack). Background technique [0002] During the use of highways, affected by many factors such as the natural environment and driving loads, various damages are gradually formed on the surface of the highway. Cracks, as a common form of damage to the road surface, are extremely harmful to the highway. In order to save maintenance resources and ensure the safety and comfort of driving, it is necessary to accurately obtain parameter information such as the location, area, and degree of cracks, so as to provide a basis for the traffic management department to objectively evaluate the quality of the road surface and make scientific decisions on maintenance management plans. [0003] At present, with the development of sensor, automat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 张德津谢和礼张志刚林红涂超文卢毅胡其波
Owner WUHAN WUDA ZOYON SCI & TECH
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