•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • ProfDoc
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • ProfDoc
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

A Novel Algorithm for Linear Feature Detection in Images

Author:
عادل قاضی خانی
,
حمیدرضا پوررضا
,
Adel Ghazikhani
,
Hamid Reza Pourreza
Year
: 2010
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.
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/3380414
Keyword(s): Beamlet transform,Radon transform,linear

feature detection
Collections :
  • ProfDoc
  • Show Full MetaData Hide Full MetaData
  • Statistics

    A Novel Algorithm for Linear Feature Detection in Images

Show full item record

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?locale-attribute=en
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
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace