Line Fitting Using Hough-Like Procedure
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The Hough Transform is an image processing algorithm which is used to extract geometric primitives from digital images. It has a number of desirable properties, typically robustness to noise and data occlusion. In this paper a new approach to line fitting problem based on Hough Transform is presented. A critical comparison is made with the more traditional least squares method and potential benefits arising from the application of the proposed HT method is illustrated by examples.
KeywordsLine fitting, least squares method, impulsive noise, Hough transform, accumulator array, voting strategy
Document typePeer reviewed
Document versionFinal PDF
SourceRadioengineering. 2001, vol. 10, č. 1, s. 25-30. ISSN 1210-2512
- 2001/1