Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat

Raseli, Siti Sarah and Amirhussain, Afina and Mahat, Norpah (2020) Corner point detection for the map of kariah Kg. Bukit Kapar / Siti Sarah Raseli, Afina Amirhussain and Norpah Mahat. Mathematical Sciences and Informatics Journal (MIJ), 1 (2). pp. 51-58. ISSN 2735-0703

Abstract

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.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Raseli, Siti Sarah
sitisarahraseli@uitm.edu.my
Amirhussain, Afina
afina.amirhussain@honda.net.my
Mahat, Norpah
Norpah020@uitm.edu.my
Subjects: Q Science > QA Mathematics > Analysis > Mappings (Mathematics)
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms
Divisions: Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Mathematical Sciences and Informatics Journal (MIJ)
UiTM Journal Collections: UiTM Journal > Mathematical Science and Information Journal (MIJ)
ISSN: 2735-0703
Volume: 1
Number: 2
Page Range: pp. 51-58
Keywords: Corner points detection; Smoothing the image; Extract boundary; Harris detector
Date: November 2020
URI: https://ir.uitm.edu.my/id/eprint/38365
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