Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin

Edge based segmentation are the technique that have in image processing. In this project, three method form edge based segmentation technique which Canny segmentation method, Sobel segmentation method and Roberts segmentation method are choose. After use each three method and find the sum of value p...

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Bibliographic Details
Main Author:	Bahrudin, Ahmad Zaki
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Communication of computer science information Electronic digital computers
Online Access:	http://ir.uitm.edu.my/id/eprint/18925/ http://ir.uitm.edu.my/id/eprint/18925/1/TD_AHMAD%20ZAKI%20BAHRUDIN%20M%20CS%2017_5.pdf

id	uitm-18925
recordtype	eprints
spelling	uitm-189252018-02-05T04:07:57Z http://ir.uitm.edu.my/id/eprint/18925/ Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin Bahrudin, Ahmad Zaki Communication of computer science information Electronic digital computers Edge based segmentation are the technique that have in image processing. In this project, three method form edge based segmentation technique which Canny segmentation method, Sobel segmentation method and Roberts segmentation method are choose. After use each three method and find the sum of value pixels, the value have pass to equation that calculate to find the best method with higher accuracy between that three method. The result each calculation have collect and save in excel to make comparison in percentage the best method have choose. As hope this system can help for future of any image processing technique might be relate with this system or can improvise with any brilliant idea. 2017 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18925/1/TD_AHMAD%20ZAKI%20BAHRUDIN%20M%20CS%2017_5.pdf Bahrudin, Ahmad Zaki (2017) Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin. Degree thesis, Universiti Teknologi MARA , Melaka.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Communication of computer science information Electronic digital computers
spellingShingle	Communication of computer science information Electronic digital computers Bahrudin, Ahmad Zaki Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin
description	Edge based segmentation are the technique that have in image processing. In this project, three method form edge based segmentation technique which Canny segmentation method, Sobel segmentation method and Roberts segmentation method are choose. After use each three method and find the sum of value pixels, the value have pass to equation that calculate to find the best method with higher accuracy between that three method. The result each calculation have collect and save in excel to make comparison in percentage the best method have choose. As hope this system can help for future of any image processing technique might be relate with this system or can improvise with any brilliant idea.
format	Thesis
author	Bahrudin, Ahmad Zaki
author_facet	Bahrudin, Ahmad Zaki
author_sort	Bahrudin, Ahmad Zaki
title	Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin
title_short	Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin
title_full	Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin
title_fullStr	Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin
title_full_unstemmed	Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin
title_sort	edge segmentation of malay sign language images / ahmad zaki bahrudin
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/18925/ http://ir.uitm.edu.my/id/eprint/18925/1/TD_AHMAD%20ZAKI%20BAHRUDIN%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:01:29Z
last_indexed	2023-09-18T23:01:29Z
_version_	1777418203138359296

Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin

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