Dilated Filters for Edge-Detection Algorithms

Edges are a basic and fundamental feature in image processing that is used directly or indirectly in huge number of applications. Inspired by the expansion of image resolution and processing power, dilated-convolution techniques appeared. Dilated convolutions have impressive results in machine learn...

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Autores principales:	Ciprian Orhei, Victor Bogdan, Cosmin Bonchis, Radu Vasiu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	dilated filters edge-detection operator edge detection first-order edge detection Canny algorithm Laplace algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/10464a2aa57f43409670ee1f400070ef
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id	oai:doaj.org-article:10464a2aa57f43409670ee1f400070ef
record_format	dspace
spelling	oai:doaj.org-article:10464a2aa57f43409670ee1f400070ef2021-11-25T16:36:17ZDilated Filters for Edge-Detection Algorithms10.3390/app1122107162076-3417https://doaj.org/article/10464a2aa57f43409670ee1f400070ef2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10716https://doaj.org/toc/2076-3417Edges are a basic and fundamental feature in image processing that is used directly or indirectly in huge number of applications. Inspired by the expansion of image resolution and processing power, dilated-convolution techniques appeared. Dilated convolutions have impressive results in machine learning, so naturally we discuss the idea of dilating the standard filters from several edge-detection algorithms. In this work, we investigated the research hypothesis that use dilated filters, rather than the extended or classical ones, and obtained better edge map results. To demonstrate this hypothesis, we compared the results of the edge-detection algorithms using the proposed dilation filters with original filters or custom variants. Experimental results confirm our statement that the dilation of filters have a positive impact for edge-detection algorithms from simple to rather complex algorithms.Ciprian OrheiVictor BogdanCosmin BonchisRadu VasiuMDPI AGarticledilated filtersedge-detection operatoredge detectionfirst-order edge detectionCanny algorithmLaplace algorithmTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10716, p 10716 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dilated filters edge-detection operator edge detection first-order edge detection Canny algorithm Laplace algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	dilated filters edge-detection operator edge detection first-order edge detection Canny algorithm Laplace algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Ciprian Orhei Victor Bogdan Cosmin Bonchis Radu Vasiu Dilated Filters for Edge-Detection Algorithms
description	Edges are a basic and fundamental feature in image processing that is used directly or indirectly in huge number of applications. Inspired by the expansion of image resolution and processing power, dilated-convolution techniques appeared. Dilated convolutions have impressive results in machine learning, so naturally we discuss the idea of dilating the standard filters from several edge-detection algorithms. In this work, we investigated the research hypothesis that use dilated filters, rather than the extended or classical ones, and obtained better edge map results. To demonstrate this hypothesis, we compared the results of the edge-detection algorithms using the proposed dilation filters with original filters or custom variants. Experimental results confirm our statement that the dilation of filters have a positive impact for edge-detection algorithms from simple to rather complex algorithms.
format	article
author	Ciprian Orhei Victor Bogdan Cosmin Bonchis Radu Vasiu
author_facet	Ciprian Orhei Victor Bogdan Cosmin Bonchis Radu Vasiu
author_sort	Ciprian Orhei
title	Dilated Filters for Edge-Detection Algorithms
title_short	Dilated Filters for Edge-Detection Algorithms
title_full	Dilated Filters for Edge-Detection Algorithms
title_fullStr	Dilated Filters for Edge-Detection Algorithms
title_full_unstemmed	Dilated Filters for Edge-Detection Algorithms
title_sort	dilated filters for edge-detection algorithms
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/10464a2aa57f43409670ee1f400070ef
work_keys_str_mv	AT ciprianorhei dilatedfiltersforedgedetectionalgorithms AT victorbogdan dilatedfiltersforedgedetectionalgorithms AT cosminbonchis dilatedfiltersforedgedetectionalgorithms AT raduvasiu dilatedfiltersforedgedetectionalgorithms
_version_	1718413060426694656

Dilated Filters for Edge-Detection Algorithms

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