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A Novel Algorithm for Linear Feature Detection in Images

نویسنده:
عادل قاضی خانی
,
حمیدرضا پوررضا
,
Adel Ghazikhani
,
Hamid Reza Pourreza
سال
: 2010
چکیده: 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.
یو آر آی: https://libsearch.um.ac.ir:443/fum/handle/fum/3380414
کلیدواژه(گان): Beamlet transform,Radon transform,linear

feature detection
کالکشن :
  • ProfDoc
  • نمایش متادیتا پنهان کردن متادیتا
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    A Novel Algorithm for Linear Feature Detection in Images

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contributor authorعادل قاضی خانیen
contributor authorحمیدرضا پوررضاen
contributor authorAdel Ghazikhanifa
contributor authorHamid Reza Pourrezafa
date accessioned2020-06-06T14:03:09Z
date available2020-06-06T14:03:09Z
date copyright10/27/2010
date issued2010
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3380414
description abstractWe 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
languageEnglish
titleA Novel Algorithm for Linear Feature Detection in Imagesen
typeConference Paper
contenttypeExternal Fulltext
subject keywordsBeamlet transformen
subject keywordsRadon transformen
subject keywordslinear

feature detection
en
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1023836.html
conference title6th Iranian Conf. on Machine Vision and Image Processingen
conference locationاصفهانfa
identifier articleid1023836
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