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
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[0039] The present invention will be further described below in conjunction with specific embodiments.
[0040] The present invention belongs to the technical field of image processing, and specifically relates to a road marking damage detection method based on drone aerial highway images, in particular a road positioning and segmentation algorithm realized by edge detection and a detection algorithm for broken road markings .
[0041] Step 1. Use drone aerial photography to obtain aerial images of highways, and preprocess the aerial images to obtain the normalized images to be detected, such as figure 2 Shown
[0042] (1) The image input is an RGB format image.
[0043] (2) The image is scaled equally to the image width of 2000 pixels.
[0044] (3) The image gray scale 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 highway, and divide the highway area according to the white...
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