- Using the function intline from the DIPUM Toolbox, create a binary image containing foreground pixels along the line given by houghlines. (The DIPUM Toolbox contains the MATLAB code from the book Digital Image Processing Using MATLAB, 3rd ed.)
- Dilate that binary image using imdilate and a structuring element with the desired radius (2 or 3 pixels). You could use a circular structuring element, although with a radius that small, it won't really be close to a circle.
- Use a logical AND operator (&) with your dilated binary image and your edge image to identify the edge pixels that are close to the line identified by houghlines.
Get edge points from a hough line
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mikel lasa
le 26 Oct 2020
Commenté : Steve Eddins
le 27 Oct 2020
Hello,
After processing an image, I get 5 lines using houghlines. These lines arent perfect fited to the original image, so my intention is to get edge points near my line ( 2 or 3 pixel distance) and then, using those points, make a least square fitting.
My problem is that having the equation y=mx+n of my houghlines, I dont know how to get the nearest points of those lines.
Hope you can understand my explanation.
Regards,
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Steve Eddins
le 26 Oct 2020
I think I understand your question. Here is one possibility.
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Steve Eddins
le 27 Oct 2020
To try the solution I suggested, you'll need to create a binary image that has foreground pixels along the lines returned by houghlines. That is what the intline function is for. Once you have that binary image, you can call imdilate to perform the dilation.
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