Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System
This paper reports the finding of the experimentation of the Particle Swarm Optimization in optimizing the stereo matching algorithm’s parameters for the star fruit inspection system. The star fruit inspection system is built by CvviP Universiti Teknologi Malaysia. While the stereo matching algorith...
Saved in:
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/11672/1/2014_Conf._13Feb_ICRET2014_BATAM_%283%29.pdf http://eprints.utem.edu.my/id/eprint/11672/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utem.eprints.11672 |
---|---|
record_format |
eprints |
spelling |
my.utem.eprints.116722015-05-28T04:19:23Z http://eprints.utem.edu.my/id/eprint/11672/ Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System Nasroddin, Saidatul Nizan Mohd Mokji, Musa Tan, Kok Zainal Abidin, Amar Faiz Amirulah, Rahman Nordin, Nur Anis Hasim, Saipol Hadi Zakaria, Hamzah Hassan, Jefery Jaafar, Hazriq Izzuan Khairuddin, Osman TK Electrical engineering. Electronics Nuclear engineering This paper reports the finding of the experimentation of the Particle Swarm Optimization in optimizing the stereo matching algorithm’s parameters for the star fruit inspection system. The star fruit inspection system is built by CvviP Universiti Teknologi Malaysia. While the stereo matching algorithm used in the experiment is taken from the Matlab library. Each particle of Particle Swarm Optimization in the search pace repsents a set of candidate numerical value of the stereo matching’s parameters. The fitness function for this application is the sum of absolute error of the gray scale value of both images. Based on this information, the particles will improve its position in the search space by moving towards its best record and the swarm best record. The process repeated until the maximum iteration met. The result indicates that there is potential application of Particle Swarm Optimization in stereo matching’s parameters tuning. 2014-02-13 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/11672/1/2014_Conf._13Feb_ICRET2014_BATAM_%283%29.pdf Nasroddin, Saidatul Nizan and Mohd Mokji, Musa and Tan, Kok and Zainal Abidin, Amar Faiz and Amirulah, Rahman and Nordin, Nur Anis and Hasim, Saipol Hadi and Zakaria, Hamzah and Hassan, Jefery and Jaafar, Hazriq Izzuan and Khairuddin, Osman (2014) Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System. In: International Conference Recent treads in Engineering & Technology (ICRET’2014), 13-14 Feb 2014, Batam (Indonesia). |
institution |
Universiti Teknikal Malaysia Melaka |
building |
UTEM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknikal Malaysia Melaka |
content_source |
UTEM Institutional Repository |
url_provider |
http://eprints.utem.edu.my/ |
language |
English |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Nasroddin, Saidatul Nizan Mohd Mokji, Musa Tan, Kok Zainal Abidin, Amar Faiz Amirulah, Rahman Nordin, Nur Anis Hasim, Saipol Hadi Zakaria, Hamzah Hassan, Jefery Jaafar, Hazriq Izzuan Khairuddin, Osman Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System |
description |
This paper reports the finding of the experimentation of the Particle Swarm Optimization in optimizing the stereo matching algorithm’s parameters for the star fruit inspection system. The star fruit inspection system is built by CvviP Universiti Teknologi Malaysia. While the stereo matching algorithm used in the experiment is taken from the Matlab library. Each particle of Particle Swarm Optimization in the search pace repsents a set of candidate
numerical value of the stereo matching’s parameters. The fitness function for this application is the sum of absolute error of the gray scale value of both images. Based on this information, the particles will improve its position in the search space by moving towards its best record and the swarm best record. The process repeated until the maximum iteration met. The result indicates that there is potential application of Particle Swarm Optimization in stereo matching’s parameters tuning. |
format |
Conference or Workshop Item |
author |
Nasroddin, Saidatul Nizan Mohd Mokji, Musa Tan, Kok Zainal Abidin, Amar Faiz Amirulah, Rahman Nordin, Nur Anis Hasim, Saipol Hadi Zakaria, Hamzah Hassan, Jefery Jaafar, Hazriq Izzuan Khairuddin, Osman |
author_facet |
Nasroddin, Saidatul Nizan Mohd Mokji, Musa Tan, Kok Zainal Abidin, Amar Faiz Amirulah, Rahman Nordin, Nur Anis Hasim, Saipol Hadi Zakaria, Hamzah Hassan, Jefery Jaafar, Hazriq Izzuan Khairuddin, Osman |
author_sort |
Nasroddin, Saidatul Nizan |
title |
Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System |
title_short |
Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System |
title_full |
Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System |
title_fullStr |
Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System |
title_full_unstemmed |
Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System |
title_sort |
application of particle swarm optimization in optimizing stereo matching algorithm’s parameters for star fruit inspection system |
publishDate |
2014 |
url |
http://eprints.utem.edu.my/id/eprint/11672/1/2014_Conf._13Feb_ICRET2014_BATAM_%283%29.pdf http://eprints.utem.edu.my/id/eprint/11672/ |
_version_ |
1665905474540666880 |
score |
13.18916 |