Line Fitting Using Hough-Like Procedure
Abstract
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.
Keywords
Line fitting, least squares method, impulsive noise, Hough transform, accumulator array, voting strategyPersistent identifier
http://hdl.handle.net/11012/58180Document type
Peer reviewedDocument version
Final PDFSource
Radioengineering. 2001, vol. 10, č. 1, s. 25-30. ISSN 1210-2512http://www.radioeng.cz/fulltexts/2001/01_01_25_30.pdf
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