Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat
Corner point detection are the important technique for many image processing applications including image enhancement, object detection and pattern recognition. The purpose of this study is to detect the corner points of a map of Kariah Kampung Bukit Kapar image by using Harris Corner Detector. Corn...
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my.uitm.ir.383652023-06-26T04:45:21Z https://ir.uitm.edu.my/id/eprint/38365/ Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat msij Raseli, Siti Sarah Amirhussain, Afina Mahat, Norpah Mappings (Mathematics) Algorithms Corner point detection are the important technique for many image processing applications including image enhancement, object detection and pattern recognition. The purpose of this study is to detect the corner points of a map of Kariah Kampung Bukit Kapar image by using Harris Corner Detector. Corner points in an image represents a lot of important information of the image. Detection of corner points accurately is significant to image processing, which can reduce much of the calculations. In this study, the initial technique is smoothing the image and extract the boundary of the image. Then, Harris Corner Detector is used to detect the corner points by considering the amount of corner point detection and run time processing. This study proposed the Harris Corner Detector which can detect 154 points with 12.9552 second. UiTM Press 2020-11 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/38365/2/38365.pdf Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat. (2020) Mathematical Sciences and Informatics Journal (MIJ) <https://ir.uitm.edu.my/view/publication/Mathematical_Sciences_and_Informatics_Journal_=28MIJ=29.html>, 1 (2). pp. 51-58. ISSN 2735-0703 https://mijuitm.com.my/view-articles/ |
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Mappings (Mathematics) Algorithms Raseli, Siti Sarah Amirhussain, Afina Mahat, Norpah Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat |
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Corner point detection are the important technique for many image processing applications including image enhancement, object detection and pattern recognition. The purpose of this study is to detect the corner points of a map of Kariah Kampung Bukit Kapar image by using Harris Corner Detector. Corner points in an image represents a lot of important information of the image. Detection of corner points accurately is significant to image processing, which can reduce much of the calculations. In this study, the initial technique is smoothing the image and extract the boundary of the image. Then, Harris Corner Detector is used to detect the corner points by considering the amount of corner point detection and run time processing. This study proposed the Harris Corner Detector which can detect 154 points with 12.9552 second. |
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Article |
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Raseli, Siti Sarah Amirhussain, Afina Mahat, Norpah |
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Raseli, Siti Sarah Amirhussain, Afina Mahat, Norpah |
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Raseli, Siti Sarah |
title |
Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat |
title_short |
Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat |
title_full |
Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat |
title_fullStr |
Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat |
title_full_unstemmed |
Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat |
title_sort |
corner point detection for the map of kariah kg. bukit kapar / siti sarah raseli, afina amirhussain and norpah mahat |
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UiTM Press |
publishDate |
2020 |
url |
https://ir.uitm.edu.my/id/eprint/38365/2/38365.pdf https://ir.uitm.edu.my/id/eprint/38365/ https://mijuitm.com.my/view-articles/ |
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