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Im a student and im trying to do lane detection on an image using python language. Using Canny edge detection and Hough line transformation, i was succesful to detetct the lines in roads. But a single laneline is detected by many lines like this:

this is the image i tried laneline detection on this is the image i tried laneline detection on

As in this image, the lanelines are detected,but in more than one number of lines. How can i average these lines to a single thick line on left,middle and right lanelines? Pls Help!

SaFaL
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  • You may find the ridge filter operators of interest (Frangi or Meijering) - https://scikit-image.org/docs/dev/auto_examples/edges/plot_ridge_filter.html. Instead of detecting edges, they detect lines as you are looking to do. You'll have to tinker with the filter parameters to get it optimized. – tdpu Feb 21 '22 at 04:46

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each line is detected by the equation: y=mx+c so you have to calculate the m,c so and use the average accumulator to detect all the ting liens into one line that has the m,c

Mohammad Othman
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