Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for Iris
This article presents the advantages of edge detection methods using filtering operations followed by application of differential operators eye an image. When using methods based on differential operators when applying intensity variations can be detected by differentiation, but if noisy signals dif...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Stefan cel Mare University of Suceava
2012-01-01
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Series: | Journal of Applied Computer Science & Mathematics |
Subjects: | |
Online Access: | http://jacs.usv.ro/getpdf.php?paperid=12_3 |
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author | Camelia COLESCU Cătălin LUPU |
author_facet | Camelia COLESCU Cătălin LUPU |
author_sort | Camelia COLESCU |
collection | DOAJ |
description | This article presents the advantages of edge detection methods using filtering operations followed by application of differential operators eye an image. When using methods based on differential operators when applying intensity variations can be detected by differentiation, but if noisy signals differentiation is dangerous due to the effect of amplifying the high frequencies. To eliminate this disadvantage must be designed optimal edge detectors (Canny) which satisfy the following criteria: accurate detection, correct location and a single response to a single edge |
first_indexed | 2024-12-24T05:14:12Z |
format | Article |
id | doaj.art-96784125218f4db4aeb09f520e43e2ad |
institution | Directory Open Access Journal |
issn | 2066-4273 2066-3129 |
language | English |
last_indexed | 2024-12-24T05:14:12Z |
publishDate | 2012-01-01 |
publisher | Stefan cel Mare University of Suceava |
record_format | Article |
series | Journal of Applied Computer Science & Mathematics |
spelling | doaj.art-96784125218f4db4aeb09f520e43e2ad2022-12-21T17:13:36ZengStefan cel Mare University of SuceavaJournal of Applied Computer Science & Mathematics2066-42732066-31292012-01-016121823Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for IrisCamelia COLESCUCătălin LUPUThis article presents the advantages of edge detection methods using filtering operations followed by application of differential operators eye an image. When using methods based on differential operators when applying intensity variations can be detected by differentiation, but if noisy signals differentiation is dangerous due to the effect of amplifying the high frequencies. To eliminate this disadvantage must be designed optimal edge detectors (Canny) which satisfy the following criteria: accurate detection, correct location and a single response to a single edgehttp://jacs.usv.ro/getpdf.php?paperid=12_3Edge DetectorsFilterDifferenţial OperatorsIris |
spellingShingle | Camelia COLESCU Cătălin LUPU Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for Iris Journal of Applied Computer Science & Mathematics Edge Detectors Filter Differenţial Operators Iris |
title | Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for Iris |
title_full | Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for Iris |
title_fullStr | Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for Iris |
title_full_unstemmed | Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for Iris |
title_short | Edge Detection Methods Based on Filtering Followed by Application of Differential Operators for Iris |
title_sort | edge detection methods based on filtering followed by application of differential operators for iris |
topic | Edge Detectors Filter Differenţial Operators Iris |
url | http://jacs.usv.ro/getpdf.php?paperid=12_3 |
work_keys_str_mv | AT cameliacolescu edgedetectionmethodsbasedonfilteringfollowedbyapplicationofdifferentialoperatorsforiris AT catalinlupu edgedetectionmethodsbasedonfilteringfollowedbyapplicationofdifferentialoperatorsforiris |