Discretization errors in the Hough transform
作者： T.M. van Veen , F.C.A. Groen
DOI: 10.1016/0031-3203(81)90055-8
关键词: Hough transform 、 Digital image processing 、 Discretization 、 Pattern recognition 、 Scale-invariant feature transform 、 Parameter space 、 Mathematics 、 Quantization (image processing) 、 Top-hat transform 、 S transform 、 Artificial intelligence
摘要: Abstract Straight line-segments in a two-dimensional image can be detected with the Hough transform by searching peaks parameter space. The influence on of quantization space, and width line-segment is investigated this paper. was improved O'Gorman Clowes taking into account gradient direction. resulting scatter reduced using weighting function transform. Examples asbestos preparations are given.
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