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Road mark line damage detection method based on unmanned aerial vehicle shot road images

A damage detection and aerial image technology, applied in the field of image processing, can solve the problems of long running time and limited recognition accuracy, and achieve the effect of fast running speed, strong practicability and simple algorithm

Active Publication Date: 2018-02-16
南京中设航空科技发展有限公司
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Problems solved by technology

But the recognition accuracy is limited and the running time is long

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  • Road mark line damage detection method based on unmanned aerial vehicle shot road images
  • Road mark line damage detection method based on unmanned aerial vehicle shot road images
  • Road mark line damage detection method based on unmanned aerial vehicle shot road images

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with specific examples.

[0040] The invention belongs to the technical field of image processing, and in particular relates to a road marking damage detection method based on a UAV aerial road image, especially a positioning and segmentation algorithm for roads realized by edge detection, and a detection algorithm for damaged road markings .

[0041] Step 1, use UAV aerial photography to obtain the aerial image of the road, and preprocess the aerial image to obtain the normalized image to be detected. The normalized image is as follows: figure 2 shown;

[0042] (1) The image input is an image in RGB format.

[0043] (2) The image is proportionally scaled to an image width of 2000 pixels.

[0044] (3) The image grayscale formula is Gray = (306*R + 601*G + 117*B)>>10.

[0045] Step 2, use the straight line detection method to detect the white marking lines on both sides of the road, and divide the ...

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Abstract

The invention relates to a road mark line damage detection method based on unmanned aerial vehicle shot road images. The method comprises the steps of: for a preprocessed image, detecting white mark lines on two sides of a road by adopting a Hough transformation method for detecting straight lines, then positioning the road, calculating a threshold to binarize the image, removing a repeat area ofadjacent images using an image matching method, finally, extracting the mark lines of the road, and performing damage detection on the mark lines. The road mark line damage detection method based on unmanned aerial vehicle shot road images effectively solves the problems of low efficiency, resource waste and the like of the traditional manual view method, solves the influence of road color changesunder different light on mark line extraction and the problems that the damaged mark lines are difficult to analyze and the like, is free from the limitations of time and space, and has good applicability and reliability.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a road marking damage detection method based on a UAV aerial road image, in particular to a positioning and segmentation algorithm for roads, a road surface threshold calculation algorithm and a damage detection method realized by using Hough transform to detect straight lines. Algorithm for detection of highway markings. Background technique [0002] The traditional method of damage detection of highway markings mainly adopts manual methods, which is relatively backward, and the detection results are not quantitatively analyzed and stored, which has limitations. If drones can be used for automatic damage detection of marking lines, it will greatly reduce road management. Reduce the workload of the staff, improve work efficiency, and improve accuracy. [0003] At present, research on road marking detection mainly focuses on road marking image preprocessing, ...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/174
CPCG06T7/0002G06T2207/20061G06T2207/30204G06T7/11G06T7/13G06T7/136G06T7/174
Inventor 周敏刘宁钟朱志超王立春王勇
Owner 南京中设航空科技发展有限公司
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