Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin

Boundary extraction and corner point detection are basic step for many image processing applications including image enhancement, object detection and pattern recognition. Traditional learning-based boundary extraction algorithms classify each pixel edge separately and then get boundaries from the l...

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Main Author:	AmirHussin, 'Afina
Format:	Thesis
Language:	English
Published:	2019
Subjects:	GA Mathematical geography. Cartography Algorithms
Online Access:	http://ir.uitm.edu.my/id/eprint/25263/ http://ir.uitm.edu.my/id/eprint/25263/1/TD_%27AFINA%20AMIRHUSSIN%20CS%20R%2019_5.pdf

id	uitm-25263
recordtype	eprints
spelling	uitm-252632019-08-23T02:23:08Z http://ir.uitm.edu.my/id/eprint/25263/ Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin AmirHussin, 'Afina GA Mathematical geography. Cartography Algorithms Boundary extraction and corner point detection are basic step for many image processing applications including image enhancement, object detection and pattern recognition. Traditional learning-based boundary extraction algorithms classify each pixel edge separately and then get boundaries from the local decisions of a classifier. The purpose of study is to extract the boundary of image, find the corner point and compare between two algorithms. However, this study applied morphology operation to extract the boundary image by using erosion operation. Morphology is a broad set of binary image operations that process images based on shapes. Corners in images represent a lot of important information. Extracting corners accurately is significant to image processing, which can reduce much of the calculations. Furthermore, two widely feature detection algorithms, which is Harris Corner Detector and FAST Corner Detector are used to compare in terms of the amount of corner point detection and run time of processing. The study used the image of the map of Kariah Kampung Bukit Kapar, Kapar, Klang, Selangor. First, the image will be smooth for retouching and look soft in certain part or entire image. Second, reduce the noise of image to maintain the features of edges. Third, extract the boundary of image. Then, these algorithms have been applied on the image. It is conclude that the FAST algorithm is better than Harris algorithm in terms of the amount of corner point detection and run time. 2019-08-21 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/25263/1/TD_%27AFINA%20AMIRHUSSIN%20CS%20R%2019_5.pdf AmirHussin, 'Afina (2019) Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	GA Mathematical geography. Cartography Algorithms
spellingShingle	GA Mathematical geography. Cartography Algorithms AmirHussin, 'Afina Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
description	Boundary extraction and corner point detection are basic step for many image processing applications including image enhancement, object detection and pattern recognition. Traditional learning-based boundary extraction algorithms classify each pixel edge separately and then get boundaries from the local decisions of a classifier. The purpose of study is to extract the boundary of image, find the corner point and compare between two algorithms. However, this study applied morphology operation to extract the boundary image by using erosion operation. Morphology is a broad set of binary image operations that process images based on shapes. Corners in images represent a lot of important information. Extracting corners accurately is significant to image processing, which can reduce much of the calculations. Furthermore, two widely feature detection algorithms, which is Harris Corner Detector and FAST Corner Detector are used to compare in terms of the amount of corner point detection and run time of processing. The study used the image of the map of Kariah Kampung Bukit Kapar, Kapar, Klang, Selangor. First, the image will be smooth for retouching and look soft in certain part or entire image. Second, reduce the noise of image to maintain the features of edges. Third, extract the boundary of image. Then, these algorithms have been applied on the image. It is conclude that the FAST algorithm is better than Harris algorithm in terms of the amount of corner point detection and run time.
format	Thesis
author	AmirHussin, 'Afina
author_facet	AmirHussin, 'Afina
author_sort	AmirHussin, 'Afina
title	Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
title_short	Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
title_full	Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
title_fullStr	Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
title_full_unstemmed	Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
title_sort	boundary extraction and corner point detection for map of kariah kg. bukit kapar / 'afina amirhussin
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/25263/ http://ir.uitm.edu.my/id/eprint/25263/1/TD_%27AFINA%20AMIRHUSSIN%20CS%20R%2019_5.pdf
first_indexed	2023-09-18T23:14:24Z
last_indexed	2023-09-18T23:14:24Z
_version_	1777419015307657216

Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin

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