OK, gotcha. Sounds like an interesting problem. Another area that might be worth exploring is fractal geometry. Many real world shapes (coastlines, for example

OK, gotcha. Sounds like an interesting problem. Another area that might be worth exploring is fractal geometry. Many real world shapes (coastlines, for example) have a fractal aspect. And given that there are means for calculating the fractal complexity of a section of such a thing, you might be able to do some iterative thing where you perform such a calculation over a part of your image, then start taking edges out, and see how much that affects the calculated value. It may be that lines that were never really part of the actual real world shape have a different impact when removed, compared to lines that were part of the actual shape. Or if that not exactly, the whole world of fractals and the associated math might have something that would be useful to you. https://users.math.yale.edu/public_html/People/frame/Fractals/ https://users.math.yale.edu/public_html/People/frame/Fractal... A clustering algorithm might also be useful. It may be that you can cluster the endpoint locations in such a way that the "artifact" lines will clearly fall outside the cluster, which might make it possible to spot and remove them.