A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system

This paper reports the result obtained by implementing Gravitational Search Algorithm for tuning Stereo Matching Algorithm's parameters for the application star fruit inspection system. The hardware for the inspection system is built by CvviP from Universiti Teknologi Malaysia using only single...

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Main Authors: Zainal Abidin, Amar Faiz, Mohd. Ali, Nursabillilah, Mat Zain, Norlina, Majid, M. A., Rifin, Rozi, Kadiran, Kamaru Adzha, Mohd. Mokji, Ahmad Musa, Tan, Kok, Amirulah, R.
Format: Article
Language:English
Published: Asian Research Publishing Network 2018
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Online Access:http://eprints.utm.my/id/eprint/86181/1/AhmadMusaMohdMokji2018_AStudyOnTheApplicationOfGravitationalSearchAlgorithm.pdf
http://eprints.utm.my/id/eprint/86181/
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spelling my.utm.861812020-08-30T09:05:06Z http://eprints.utm.my/id/eprint/86181/ A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system Zainal Abidin, Amar Faiz Mohd. Ali, Nursabillilah Mat Zain, Norlina Majid, M. A. Rifin, Rozi Kadiran, Kamaru Adzha Mohd. Mokji, Ahmad Musa Tan, Kok Amirulah, R. TK Electrical engineering. Electronics Nuclear engineering This paper reports the result obtained by implementing Gravitational Search Algorithm for tuning Stereo Matching Algorithm's parameters for the application star fruit inspection system. The hardware for the inspection system is built by CvviP from Universiti Teknologi Malaysia using only single camera. The implemented Stereo Matching Algorithm used on the system comes from the built-in Matlab library. Each agent of Gravitational Search Algorithm in the search pace represents a set of candidate numerical value of the stereo matching's parameters. The sum of absolute error of the gray scale value of both images is used to indicate the fitness function. Benchmarking has done by comparing the result obtained with the previous literature that implements Particle Swarm Optimization. The result indicates that the application of Gravitational Search Algorithm as parameters tuner for stereo matching's parameters tuning is essentially on par with the Particle Swarm Optimization Algorithm. Asian Research Publishing Network 2018-02 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/86181/1/AhmadMusaMohdMokji2018_AStudyOnTheApplicationOfGravitationalSearchAlgorithm.pdf Zainal Abidin, Amar Faiz and Mohd. Ali, Nursabillilah and Mat Zain, Norlina and Majid, M. A. and Rifin, Rozi and Kadiran, Kamaru Adzha and Mohd. Mokji, Ahmad Musa and Tan, Kok and Amirulah, R. (2018) A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system. ARPN Journal of Engineering and Applied Sciences, 13 (4). pp. 1212-1217. ISSN 1819-6608
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zainal Abidin, Amar Faiz
Mohd. Ali, Nursabillilah
Mat Zain, Norlina
Majid, M. A.
Rifin, Rozi
Kadiran, Kamaru Adzha
Mohd. Mokji, Ahmad Musa
Tan, Kok
Amirulah, R.
A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system
description This paper reports the result obtained by implementing Gravitational Search Algorithm for tuning Stereo Matching Algorithm's parameters for the application star fruit inspection system. The hardware for the inspection system is built by CvviP from Universiti Teknologi Malaysia using only single camera. The implemented Stereo Matching Algorithm used on the system comes from the built-in Matlab library. Each agent of Gravitational Search Algorithm in the search pace represents a set of candidate numerical value of the stereo matching's parameters. The sum of absolute error of the gray scale value of both images is used to indicate the fitness function. Benchmarking has done by comparing the result obtained with the previous literature that implements Particle Swarm Optimization. The result indicates that the application of Gravitational Search Algorithm as parameters tuner for stereo matching's parameters tuning is essentially on par with the Particle Swarm Optimization Algorithm.
format Article
author Zainal Abidin, Amar Faiz
Mohd. Ali, Nursabillilah
Mat Zain, Norlina
Majid, M. A.
Rifin, Rozi
Kadiran, Kamaru Adzha
Mohd. Mokji, Ahmad Musa
Tan, Kok
Amirulah, R.
author_facet Zainal Abidin, Amar Faiz
Mohd. Ali, Nursabillilah
Mat Zain, Norlina
Majid, M. A.
Rifin, Rozi
Kadiran, Kamaru Adzha
Mohd. Mokji, Ahmad Musa
Tan, Kok
Amirulah, R.
author_sort Zainal Abidin, Amar Faiz
title A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system
title_short A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system
title_full A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system
title_fullStr A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system
title_full_unstemmed A study on the application of Gravitational Search Algorithm in optimizing Stereo Matching Algorithm's parameters for star fruit inspection system
title_sort study on the application of gravitational search algorithm in optimizing stereo matching algorithm's parameters for star fruit inspection system
publisher Asian Research Publishing Network
publishDate 2018
url http://eprints.utm.my/id/eprint/86181/1/AhmadMusaMohdMokji2018_AStudyOnTheApplicationOfGravitationalSearchAlgorithm.pdf
http://eprints.utm.my/id/eprint/86181/
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score 13.211869