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Line Fitting Using Hough-Like Procedure

By J. Turan and P. Farkas

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

Topics: Line fitting, least squares method, impulsive noise, Hough transform, accumulator array, voting strategy
Publisher: Společnost pro radioelektronické inženýrství
Year: 2001
OAI identifier: oai:dspace.vutbr.cz:11012/58180
Journal:

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