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I already tried creating a new matrix and putting my dots there, I didn't feel so good about doing this. I already have the dots, so it simply makes no sense for doing a for loop on an almost empty matrix. For small images it is okay of course, but for a 10 megapixel image it is probably not a so good idea. Of course ai could simply write my own line hough, but as this transformation is pretty common, I was hoping for a fast and robust implementation, which I could simply use. I already thought about a simple line regression, but I indeed want to use the linehough first to kill dots, which a too great distance from the 'best' line, and do the line regression afterwards.
So, do you know any solution? How are you detecting lines in large images in real time (for me the opencv implementation is already slow at about 5 megapixel)
