Disparity estimation on stereo vision based fruit inspection

Star fruit is one of the most popular fruits exported by Malaysia. From 1965, Federal Agricultural Marketing Authority is given the authority to regulate the quality of the star fruit exported by Malaysia. The great interest among the importers of Malaysia’s star fruit becomes a great motivation to...

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Main Author: Zainal Abidin, Amar Faiz
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/32020/5/AmarFaizZainalAbidinMFKE2012.pdf
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spelling my-utm-ep.320202018-04-27T01:18:40Z Disparity estimation on stereo vision based fruit inspection 2012-06 Zainal Abidin, Amar Faiz TK Electrical engineering. Electronics Nuclear engineering Star fruit is one of the most popular fruits exported by Malaysia. From 1965, Federal Agricultural Marketing Authority is given the authority to regulate the quality of the star fruit exported by Malaysia. The great interest among the importers of Malaysia’s star fruit becomes a great motivation to increase the yield and quality of the star fruit for export. One of the areas where the process can be improved is the fruit inspection. Universiti Teknologi Malaysia Computer Vision, Video and Image Processing Research Group (CvviP) had successfully invented an automatic star fruit grading system. Now, CvviP try to extend the system by experimenting the application of stereo vision in starfruit inspection. Disparity map obtained from the stereo vision can be used to find the size of the star fruit. Thus, this thesis objective is to experiment with stereo vision in order to obtain the disparity map of the star fruit. The experiment result should dictate the feasibility of the stereo matching to be integrated into the current automatic star fruit grading system. The proposed approach consists of hardware and software implementations. The hardware implementations focus on the hardware modeling and setup to acquires the starfruit images. While the software implementation focus on obtaining the disparity map from the images acquired. Based on the result obtained, the proposed approach has potential for practical implementation with some improvements needs to be done. 2012-06 Thesis http://eprints.utm.my/id/eprint/32020/ http://eprints.utm.my/id/eprint/32020/5/AmarFaizZainalAbidinMFKE2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Zainal Abidin, Amar Faiz
Disparity estimation on stereo vision based fruit inspection
description Star fruit is one of the most popular fruits exported by Malaysia. From 1965, Federal Agricultural Marketing Authority is given the authority to regulate the quality of the star fruit exported by Malaysia. The great interest among the importers of Malaysia’s star fruit becomes a great motivation to increase the yield and quality of the star fruit for export. One of the areas where the process can be improved is the fruit inspection. Universiti Teknologi Malaysia Computer Vision, Video and Image Processing Research Group (CvviP) had successfully invented an automatic star fruit grading system. Now, CvviP try to extend the system by experimenting the application of stereo vision in starfruit inspection. Disparity map obtained from the stereo vision can be used to find the size of the star fruit. Thus, this thesis objective is to experiment with stereo vision in order to obtain the disparity map of the star fruit. The experiment result should dictate the feasibility of the stereo matching to be integrated into the current automatic star fruit grading system. The proposed approach consists of hardware and software implementations. The hardware implementations focus on the hardware modeling and setup to acquires the starfruit images. While the software implementation focus on obtaining the disparity map from the images acquired. Based on the result obtained, the proposed approach has potential for practical implementation with some improvements needs to be done.
format Thesis
qualification_level Master's degree
author Zainal Abidin, Amar Faiz
author_facet Zainal Abidin, Amar Faiz
author_sort Zainal Abidin, Amar Faiz
title Disparity estimation on stereo vision based fruit inspection
title_short Disparity estimation on stereo vision based fruit inspection
title_full Disparity estimation on stereo vision based fruit inspection
title_fullStr Disparity estimation on stereo vision based fruit inspection
title_full_unstemmed Disparity estimation on stereo vision based fruit inspection
title_sort disparity estimation on stereo vision based fruit inspection
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2012
url http://eprints.utm.my/id/eprint/32020/5/AmarFaizZainalAbidinMFKE2012.pdf
_version_ 1747815901942513664