Automated inspection system for shape of starfruit / Norsyam Suraya Abidin

Nowadays there are many inspection systems that can recognize tropical fruit in Malaysia. However, finally, they have to use shape analysis for identification and to obtain exact boundary positions and distinguish fruit areas in a natural background image by colour, this research aims to detect a ne...

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Bibliographic Details
Main Author:	Abidin, Norsyam Suraya
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Fruit trade Nuts industry
Online Access:	https://ir.uitm.edu.my/id/eprint/64509/1/64509.pdf
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id	my-uitm-ir.64509
record_format	uketd_dc
spelling	my-uitm-ir.645092022-09-05T09:00:52Z Automated inspection system for shape of starfruit / Norsyam Suraya Abidin 2007 Abidin, Norsyam Suraya Fruit trade. Nuts industry Nowadays there are many inspection systems that can recognize tropical fruit in Malaysia. However, finally, they have to use shape analysis for identification and to obtain exact boundary positions and distinguish fruit areas in a natural background image by colour, this research aims to detect a new method or system of Starfruit which enables people to recognize, verify and without the constraints of human energy and time. The system will be introduce is starfruit inspection vision system (SIVS), and purposely create for MARDI. The objectives of this project are to define the requirement criteria in order to develop Automated Inspection System for shape of starfruit, to design Automated Inspection System model that covers the shape of starfruit 4, 5 and 6 based on the shape follow MARDI quality standards and its also to develop a prototype system for automated shape system of starfruit using lab view and IMAQ vision 6.0 software. The concept of this research system is based on Fourier-based shapes separations method was developed for shape detection, the use of classifier such as linear discrimination analysis. The objectives has been achieved and found the boundary shape of each starfruit and the results come out with the standard shape of starfruit. The prototype is capable to shows each shape of starfruit and 100% accuracy of each shape with the fastest process identify shape of starfruit. 2007 Thesis https://ir.uitm.edu.my/id/eprint/64509/ https://ir.uitm.edu.my/id/eprint/64509/1/64509.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Nairn, Saharbudin
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Nairn, Saharbudin
topic	Fruit trade Nuts industry
spellingShingle	Fruit trade Nuts industry Abidin, Norsyam Suraya Automated inspection system for shape of starfruit / Norsyam Suraya Abidin
description	Nowadays there are many inspection systems that can recognize tropical fruit in Malaysia. However, finally, they have to use shape analysis for identification and to obtain exact boundary positions and distinguish fruit areas in a natural background image by colour, this research aims to detect a new method or system of Starfruit which enables people to recognize, verify and without the constraints of human energy and time. The system will be introduce is starfruit inspection vision system (SIVS), and purposely create for MARDI. The objectives of this project are to define the requirement criteria in order to develop Automated Inspection System for shape of starfruit, to design Automated Inspection System model that covers the shape of starfruit 4, 5 and 6 based on the shape follow MARDI quality standards and its also to develop a prototype system for automated shape system of starfruit using lab view and IMAQ vision 6.0 software. The concept of this research system is based on Fourier-based shapes separations method was developed for shape detection, the use of classifier such as linear discrimination analysis. The objectives has been achieved and found the boundary shape of each starfruit and the results come out with the standard shape of starfruit. The prototype is capable to shows each shape of starfruit and 100% accuracy of each shape with the fastest process identify shape of starfruit.
format	Thesis
qualification_level	Bachelor degree
author	Abidin, Norsyam Suraya
author_facet	Abidin, Norsyam Suraya
author_sort	Abidin, Norsyam Suraya
title	Automated inspection system for shape of starfruit / Norsyam Suraya Abidin
title_short	Automated inspection system for shape of starfruit / Norsyam Suraya Abidin
title_full	Automated inspection system for shape of starfruit / Norsyam Suraya Abidin
title_fullStr	Automated inspection system for shape of starfruit / Norsyam Suraya Abidin
title_full_unstemmed	Automated inspection system for shape of starfruit / Norsyam Suraya Abidin
title_sort	automated inspection system for shape of starfruit / norsyam suraya abidin
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/64509/1/64509.pdf
_version_	1783735476054654976

Automated inspection system for shape of starfruit / Norsyam Suraya Abidin

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