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 and Mohd Ali, Nursabillilah and Mat Zain, Norlina and Abdul Majid, Masmaria and Rifin, Rozi and Kadiran, Kamaru Adzha and Mohd Mokji, Ahmad Musa and Tan, Kok and Amirulah, Rahman (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

Text
[2018-02] A Study on the Application of Gravitational Search Algorithm in Optimizing Stereo Matching Algorithm�%80%99s Parameters for Star Fruit Inspection System.pdf - Published Version
Download (472kB)

Official URL: http://www.arpnjournals.org/jeas/research_papers/r...

Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	fruit inspection, image processing, pattern recognition, gravitational search algorithm, stereo vision.
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Electrical Engineering
Depositing User:	Nor Aini Md. Jali
Date Deposited:	11 Oct 2018 02:54
Last Modified:	15 Jul 2021 12:52
URI:	http://eprints.utem.edu.my/id/eprint/21238
Statistic Details:	View Download Statistic

Actions (login required)

View Item