Enhancement of digital chest images using a modified Sobel edge detection algorithm
Computed tomography (CT) images are an essential factor in the diagnosing procedure for various diseases affecting the internal organs. Edge detection can be used for the appropriate enhancement of the lung CT scan images for the diagnosis of the various interstitial lung diseases (ILD). In order to...
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Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2021-12-01.
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LEADER | 02501 am a22003133u 4500 | ||
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001 | ijeecs25932_15841 | ||
042 | |a dc | ||
100 | 1 | 0 | |a N., Archana J. |e author |
100 | 1 | 0 | |e contributor |
700 | 1 | 0 | |a P., Aishwarya |e author |
700 | 1 | 0 | |a Joseph, Hanson |e author |
245 | 0 | 0 | |a Enhancement of digital chest images using a modified Sobel edge detection algorithm |
260 | |b Institute of Advanced Engineering and Science, |c 2021-12-01. | ||
500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25932 | ||
520 | |a Computed tomography (CT) images are an essential factor in the diagnosing procedure for various diseases affecting the internal organs. Edge detection can be used for the appropriate enhancement of the lung CT scan images for the diagnosis of the various interstitial lung diseases (ILD). In order to solve the issues of edge detection provided by the traditional Sobel operator, the paper proposes a Sobel 12D edge detection algorithm which uses the additional direction templates for the better identification of the edge details. First, the vertical and horizontal directions available in the traditional Sobel operator are extended to few more directions (a total of 12 directions) which enhances the edge extraction ability. Next part, compute the edge detected image using the Sobel 12D, Laplace, Prewitt, Robert's Cross and Scharr operators for edge detection separately. It is followed by image fusion method which optimizes the edge detection by combining the edge detected images obtained using the Sobel 12D approach and the Laplace operator. The experimental results shows that the proposed algorithms generates a better detection of the edges than the other edge detection operators. | ||
540 | |a Copyright (c) 2021 Institute of Advanced Engineering and Science | ||
540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
546 | |a eng | ||
690 | |||
690 | |a Direction template; Edge Detection; Image fusion; Modified Sobel 12D algorithm; | ||
655 | 7 | |a info:eu-repo/semantics/article |2 local | |
655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
655 | 7 | |2 local | |
786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 24, No 3: December 2021; 1718-1726 | |
786 | 0 | |n 2502-4760 | |
786 | 0 | |n 2502-4752 | |
786 | 0 | |n 10.11591/ijeecs.v24.i3 | |
787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25932/15841 | |
856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25932/15841 |z Get fulltext |