A Novel Algorithm for Linear Feature Detection in Images

contributor author	عادل قاضی خانی	en
contributor author	حمیدرضا پوررضا	en
contributor author	Adel Ghazikhani	fa
contributor author	Hamid Reza Pourreza	fa
date accessioned	2020-06-06T14:03:09Z
date available	2020-06-06T14:03:09Z
date copyright	10/27/2010
date issued	2010
identifier uri	http://libsearch.um.ac.ir:80/fum/handle/fum/3380414?show=full
description abstract	We propose a novel algorithm for linear feature detection in images. Our algorithm is an extension to Beamlet Transform(BT). BT is a powerful transform for linear feature detection in images. It is based on the famous Radon transform. BT's weakness is that it can't detect lines with more than one pixel width. In this paper we propose an extension to BT that overcomes this problem in image processing applications. We compare the proposed algorithm with the original BT. The results show that the proposed algorithm has better results.	en
language	English
title	A Novel Algorithm for Linear Feature Detection in Images	en
type	Conference Paper
contenttype	External Fulltext
subject keywords	Beamlet transform	en
subject keywords	Radon transform	en
subject keywords	linear feature detection	en
identifier link	https://profdoc.um.ac.ir/paper-abstract-1023836.html
conference title	6th Iranian Conf. on Machine Vision and Image Processing	en
conference location	اصفهان	fa
identifier articleid	1023836

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