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The Hough transform is used in digital image processing and computer vision to find geometrical shapes such as lines, circles or ellipses, common in images that contain man-made objects. The Hough transform can be used after an image has been pre-processed by an edge detector to find the edges that reveal the border of objects or regions inside it. In this post I will introduce briefly the theory behind the Hough transform, and then I will present two examples , one with images containing simple geometrical shapes, to better explain the idea, and one with an image containing man-made objects…

Luigi Selmi

I am a project leader and senior software engineer at Fraunhofer IAIS

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