Bahrudin, Ahmad Zaki
(2017)
Edge segmentation of Malay sign language images / Ahmad Zaki Bahrudin.
Degree thesis, Universiti Teknologi MARA , Melaka.
Abstract
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.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Bahrudin, Ahmad Zaki UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Communication of computer science information Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Electronic digital computers |
Divisions: | Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences |
Keywords: | Image processing; Edge based segmentation; Segmentation method |
Date: | 2017 |
URI: | https://ir.uitm.edu.my/id/eprint/18925 |
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