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Asked by Eric Franck
on 8 Dec 2012

I'm working on a project that includes lane detection and tracking;
I'm able to detect straight lines in image using HT; I'd like to know how to accurately detect and fit **curved lines** in an image. Thanks folks

Answer by Image Analyst
on 11 Dec 2012

If you have the coordinates of the pixels, you could use polyfit to fit them to a polynomial.

See articles on road following: Vision Bib

Eric Franck
on 11 Dec 2012

thanks, the pb is i don't hv those coordinates! i'm able to detect straight lines in binary image using HT without having to manually determine the coordinates of the pixels so I'd like to detect curved lines as well. when the road is flat the algorithm works well but the detection and fitting process become inaccurate when i deal with curved road. it's more like a parabola fitting problem i guess.

Image Analyst
on 11 Dec 2012

Well, maybe use the algorithm J recommended above or pick one from the exhaustive list I gave in Vision Bib. Or start simply with an edge detection routine, like the edge() function in MATLAB. Of course getting those coordinates is required before fitting to a curve can be done - you have to have something to fit to.

Image Analyst
on 15 Feb 2013

Answer by Jürgen
on 8 Dec 2012

Hi,

Hough Transform can also be used for detecting curves:http://faculty.washington.edu/cfolson/papers/pdf/cviu99.pdf

regards,J

Eric Franck
on 11 Dec 2012

Thanks a lot for your quick reply J, I've read the paper but frankly speaking it's been kinda difficult for me to derive a working code based on that paper within these days. Can u direct me to a working code for curve fitting? not necessarily based on HT of course. the ones I hv can only detect straight lines and no curves!

regards!

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