A Novel Image Edges Detection by Using Gaussian Functions
Nowadays, the Edge detection is a very important process and treatments in biomedical image's application to the understanding and analysis of distinction objects in digital images. Edge detection is discontinuity or sudden change process of certain visual properties (such as the intensity of l...
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Universiti Malaysia Pahang
2013
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ump-140982018-02-21T04:59:25Z http://umpir.ump.edu.my/id/eprint/14098/ A Novel Image Edges Detection by Using Gaussian Functions Khaleaf, Hussain K. Kamarul Hawari, Ghazali Ajisman, Apen TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Nowadays, the Edge detection is a very important process and treatments in biomedical image's application to the understanding and analysis of distinction objects in digital images. Edge detection is discontinuity or sudden change process of certain visual properties (such as the intensity of lighting, composition, color). In this study, edge detected of digital color images using a Gaussian function was proposed. First, the least squares' method used to compress the image data. Second, color image edge detected by using Sobel's operator by changing the intensity of homogeneous regions. Finally, the result shows the effectiveness and capability of the proposed to detect the real edges in color photographs with different color compared with standard methods to detect the edge. Universiti Malaysia Pahang 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14098/1/fkee-2013-Khaleaf-novel%20image%20edges%20detection.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14098/7/fkee-2013-Khaleaf-novel%20image%20edges%20detection1.pdf Khaleaf, Hussain K. and Kamarul Hawari, Ghazali and Ajisman, Apen (2013) A Novel Image Edges Detection by Using Gaussian Functions. International Journal of Technology Management, 2. pp. 1-7. ISSN 2289-2753 http://www.ump.edu.my/ |
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TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
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TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Khaleaf, Hussain K. Kamarul Hawari, Ghazali Ajisman, Apen A Novel Image Edges Detection by Using Gaussian Functions |
description |
Nowadays, the Edge detection is a very important process and treatments in biomedical image's application to the understanding and analysis of distinction objects in digital images. Edge detection is discontinuity or sudden change process of certain visual properties (such as the intensity of lighting, composition, color). In this study, edge detected of digital color images using a Gaussian function was proposed. First, the least squares' method used to compress the image data. Second, color image edge detected by using Sobel's operator by changing the intensity of homogeneous regions. Finally, the result shows the effectiveness and capability of the proposed to detect the real edges in color photographs with different color compared with standard methods to detect the edge. |
format |
Article |
author |
Khaleaf, Hussain K. Kamarul Hawari, Ghazali Ajisman, Apen |
author_facet |
Khaleaf, Hussain K. Kamarul Hawari, Ghazali Ajisman, Apen |
author_sort |
Khaleaf, Hussain K. |
title |
A Novel Image Edges Detection by Using Gaussian Functions |
title_short |
A Novel Image Edges Detection by Using Gaussian Functions |
title_full |
A Novel Image Edges Detection by Using Gaussian Functions |
title_fullStr |
A Novel Image Edges Detection by Using Gaussian Functions |
title_full_unstemmed |
A Novel Image Edges Detection by Using Gaussian Functions |
title_sort |
novel image edges detection by using gaussian functions |
publisher |
Universiti Malaysia Pahang |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/14098/ http://umpir.ump.edu.my/id/eprint/14098/ http://umpir.ump.edu.my/id/eprint/14098/1/fkee-2013-Khaleaf-novel%20image%20edges%20detection.pdf http://umpir.ump.edu.my/id/eprint/14098/7/fkee-2013-Khaleaf-novel%20image%20edges%20detection1.pdf |
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2023-09-18T22:17:28Z |
last_indexed |
2023-09-18T22:17:28Z |
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1777415433182248960 |