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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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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/18925/1/TD_AHMAD%20ZAKI%20BAHRUDIN%20M%20CS%2017_5.pdf
http://ir.uitm.edu.my/id/eprint/18925/
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spelling my.uitm.ir.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.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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/18925/1/TD_AHMAD%20ZAKI%20BAHRUDIN%20M%20CS%2017_5.pdf
http://ir.uitm.edu.my/id/eprint/18925/
_version_ 1685649145118851072
score 13.211869

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