HOUGH TRANSFORM WITH GNC (WedAmOR7)
Author(s) :
Andreas Leich (TU Dresden, Germany)
Marek Junghans (TU Dresden, Germany)
Hans-Joachim Jentschel (TU Dresden, Germany)
Abstract : The Hough Transform is a histogram method for pattern recognition. In this paper an approach to apply the Hough Transform to the recognition of scale variant patterns is introduced. The approach is based on the Euclidean distance of the image and the pattern. Further, the concept of Graduated Non-Convexity (GNC) is applied to the problem of evaluating the parameter space. A new, fast Hough Transform algorithm is the result which can be generalized to high-dimensional parameter spaces.

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