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...
Saved in:
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Research Publishing Network
2018
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/86181/1/AhmadMusaMohdMokji2018_AStudyOnTheApplicationOfGravitationalSearchAlgorithm.pdf http://eprints.utm.my/id/eprint/86181/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.86181 |
---|---|
record_format |
eprints |
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/ |
_version_ |
1677781142189637632 |
score |
13.211869 |