A COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING

Edge detection is a fundamental process in image processing that extracts information about the image and facilitates image segmentation and feature extraction. It has many applications in various fields of computer vision. Thus, it is very necessary to understand the performance of each of these ed...

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Autor principal: Benjamin Kommey
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Lenguaje:EN
Publicado: Yeshwantrao Chavan College of Engineering, India 2021
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Acceso en línea:https://doaj.org/article/2a2c40d629ed4ed799a5406761d3b25e
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spelling oai:doaj.org-article:2a2c40d629ed4ed799a5406761d3b25e2021-11-23T11:19:21ZA COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING10.46565/jreas.2021.v06i04.0012456-6403https://doaj.org/article/2a2c40d629ed4ed799a5406761d3b25e2021-10-01T00:00:00Zhttp://www.mgijournal.com/Data/Issues_AdminPdf/302/ID%201.pdfhttps://doaj.org/toc/2456-6403Edge detection is a fundamental process in image processing that extracts information about the image and facilitates image segmentation and feature extraction. It has many applications in various fields of computer vision. Thus, it is very necessary to understand the performance of each of these edge detectors. This paper presents a comparative study of common edge detection operators in image processing using mean squared error (SNR), peak signal to noise ratio (PSNR), and Execution time (Et). The paper shows the canny edge detector is computationally expensive but provides higher accuracy in edge detection with higher PSNR and lower MSE. The software tool used in the project is MATLAB SIMULINK R2020aBenjamin KommeyYeshwantrao Chavan College of Engineering, Indiaarticledigital image processingedge detectionimage segmentationmean squared error (mse)peak signal to noise ratio (psnr)Electrical engineering. Electronics. Nuclear engineeringTK1-9971Mechanical engineering and machineryTJ1-1570ENJournal of Research in Engineering and Applied Sciences, Vol 6, Iss 4, Pp 147-152 (2021)
institution DOAJ
collection DOAJ
language EN
topic digital image processing
edge detection
image segmentation
mean squared error (mse)
peak signal to noise ratio (psnr)
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Mechanical engineering and machinery
TJ1-1570
spellingShingle digital image processing
edge detection
image segmentation
mean squared error (mse)
peak signal to noise ratio (psnr)
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Mechanical engineering and machinery
TJ1-1570
Benjamin Kommey
A COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING
description Edge detection is a fundamental process in image processing that extracts information about the image and facilitates image segmentation and feature extraction. It has many applications in various fields of computer vision. Thus, it is very necessary to understand the performance of each of these edge detectors. This paper presents a comparative study of common edge detection operators in image processing using mean squared error (SNR), peak signal to noise ratio (PSNR), and Execution time (Et). The paper shows the canny edge detector is computationally expensive but provides higher accuracy in edge detection with higher PSNR and lower MSE. The software tool used in the project is MATLAB SIMULINK R2020a
format article
author Benjamin Kommey
author_facet Benjamin Kommey
author_sort Benjamin Kommey
title A COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING
title_short A COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING
title_full A COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING
title_fullStr A COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING
title_full_unstemmed A COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING
title_sort comparative study of common edge detection operators in digital image processing
publisher Yeshwantrao Chavan College of Engineering, India
publishDate 2021
url https://doaj.org/article/2a2c40d629ed4ed799a5406761d3b25e
work_keys_str_mv AT benjaminkommey acomparativestudyofcommonedgedetectionoperatorsindigitalimageprocessing
AT benjaminkommey comparativestudyofcommonedgedetectionoperatorsindigitalimageprocessing
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