Probabilistic Hough Transform
نویسنده
چکیده
Background The standard Hough Transform (SHT) is used to determine the parameters of features such as lines and curves within an image. A binary image is used as input where each active pixel represents part of an edge feature. The SHT maps each of these pixels to many points in Hough (or parameter) space. In the case of line detection, a single edge pixel is mapped to a sinusoid in 2D parameter space (θ,p) representing all possible lines that could pass through that image point. This is sometimes referred to as the voting stage. If multiple points in the image are collinear then their sinusoids in parameter space will cross. Thus, finding the points in parameter space where the most sinusoids cross gives the parameters for the lines in the input image and is referred to as the search stage.
منابع مشابه
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