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Real-Time Imaging
Article . 2001 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article
Data sources: zbMATH Open
DBLP
Article . 2020
Data sources: DBLP
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A New Randomized Algorithm for Detecting Lines

A new randomized algorithm for detecting lines
Authors: Chen, T.C.; Chung, K.L.;

A New Randomized Algorithm for Detecting Lines

Abstract

Summary: Line detection is very important in image processing. In this paper, a new randomized algorithm for detecting lines is presented. The proposed algorithm is quite different from the previous parameter--based methods which vote on the parameter space. Our proposed novel algorithm does not need extra storage to maintain an accumulator array for representing parameter space. The main concept used in the proposed algorithm is that we first randomly select three edge points in the image and use a distance criterion to determine whether there is a candidate line in the image; after finding that candidate line, we apply an evidence--collecting process to further determine whether the candidate line is the desired line. Some experiments have been carried out to demonstrate the computational and robust advantages of the proposed algorithm when compared with the previous algorithms.

Country
Taiwan
Keywords

Computing methodologies and applications, detecting lines, Randomized algorithms, Computing methodologies for image processing, Machine vision and scene understanding

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Average
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