A novel edge detection method based on efficient gaussian binomial filter

Most basic and recent image edge detection methods are based on exploiting spatial high-frequency to localize efficiency the boundaries and image discontinuities. These approaches are strictly sensitive to noise, and their performance decrease with the increasing noise level. This research suggests...

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Main Authors: El Houssain Ait Mansour, Francois Bretaudeau
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2021-07-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
Online Access:http://ijain.org/index.php/IJAIN/article/view/651
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author El Houssain Ait Mansour
Francois Bretaudeau
author_facet El Houssain Ait Mansour
Francois Bretaudeau
author_sort El Houssain Ait Mansour
collection DOAJ
description Most basic and recent image edge detection methods are based on exploiting spatial high-frequency to localize efficiency the boundaries and image discontinuities. These approaches are strictly sensitive to noise, and their performance decrease with the increasing noise level. This research suggests a novel and robust approach based on a binomial Gaussian filter for edge detection. We propose a scheme-based Gaussian filter that employs low-pass filters to reduce noise and gradient image differentiation to perform edge recovering. The results presented illustrate that the proposed approach outperforms the basic method for edge detection. The global scheme may be implemented efficiently with high speed using the proposed novel binomial Gaussian filter.
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spelling doaj.art-f596c1e5c59542ad91f0105552a5c78e2022-12-21T22:44:51ZengUniversitas Ahmad DahlanIJAIN (International Journal of Advances in Intelligent Informatics)2442-65712548-31612021-07-017221122410.26555/ijain.v7i2.651174A novel edge detection method based on efficient gaussian binomial filterEl Houssain Ait Mansour0Francois Bretaudeau1Department of Risks and Prevention, Office of Geophysics and MinesDepartment of Risks and Prevention, Office of Geophysics and MinesMost basic and recent image edge detection methods are based on exploiting spatial high-frequency to localize efficiency the boundaries and image discontinuities. These approaches are strictly sensitive to noise, and their performance decrease with the increasing noise level. This research suggests a novel and robust approach based on a binomial Gaussian filter for edge detection. We propose a scheme-based Gaussian filter that employs low-pass filters to reduce noise and gradient image differentiation to perform edge recovering. The results presented illustrate that the proposed approach outperforms the basic method for edge detection. The global scheme may be implemented efficiently with high speed using the proposed novel binomial Gaussian filter.http://ijain.org/index.php/IJAIN/article/view/651image edge detectiongaussian filterimage processinggaussian binomial filteralgorithm design and analysis
spellingShingle El Houssain Ait Mansour
Francois Bretaudeau
A novel edge detection method based on efficient gaussian binomial filter
IJAIN (International Journal of Advances in Intelligent Informatics)
image edge detection
gaussian filter
image processing
gaussian binomial filter
algorithm design and analysis
title A novel edge detection method based on efficient gaussian binomial filter
title_full A novel edge detection method based on efficient gaussian binomial filter
title_fullStr A novel edge detection method based on efficient gaussian binomial filter
title_full_unstemmed A novel edge detection method based on efficient gaussian binomial filter
title_short A novel edge detection method based on efficient gaussian binomial filter
title_sort novel edge detection method based on efficient gaussian binomial filter
topic image edge detection
gaussian filter
image processing
gaussian binomial filter
algorithm design and analysis
url http://ijain.org/index.php/IJAIN/article/view/651
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AT francoisbretaudeau anoveledgedetectionmethodbasedonefficientgaussianbinomialfilter
AT elhoussainaitmansour noveledgedetectionmethodbasedonefficientgaussianbinomialfilter
AT francoisbretaudeau noveledgedetectionmethodbasedonefficientgaussianbinomialfilter