Rice grading using image processing

This paper focusing about the methods used for rice grading using image processing. Various approaches have been applied by previous researchers to solve different types of difficulties in grading the quality of rice. Machine vision has been used in most application of rice grader to differentiate r...

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Main Authors:	Tahir, Wan Putri, Hussin, Norhaida, Htike@Muhammad Yusof, Zaw Zaw, Nyein Naing, Wai Yan
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/48010/ http://irep.iium.edu.my/48010/ http://irep.iium.edu.my/48010/1/128.pdf

id	iium-48010
recordtype	eprints
spelling	iium-480102018-05-22T04:56:58Z http://irep.iium.edu.my/48010/ Rice grading using image processing Tahir, Wan Putri Hussin, Norhaida Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan T Technology (General) This paper focusing about the methods used for rice grading using image processing. Various approaches have been applied by previous researchers to solve different types of difficulties in grading the quality of rice. Machine vision has been used in most application of rice grader to differentiate rice grade based on special features such as shape, length, chalkiness, color and internal damage of rice. RGB color model, histogram, edge detection are some ways which have been used to differentiate and analyzed degree level of rice. In this paper, we are also discussing and suggesting another method in rice grading for Malaysia’s type of rice using image processing method based on several features which is length, colour and shape. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/48010/1/128.pdf Tahir, Wan Putri and Hussin, Norhaida and Htike@Muhammad Yusof, Zaw Zaw and Nyein Naing, Wai Yan (2015) Rice grading using image processing. In: International Postgraduate Conference on Engineering Research (IPCER) 2015 , 27-28 Oct 2015, Gombak. (In Press) http://www.iium.edu.my/ipcer/15/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Tahir, Wan Putri Hussin, Norhaida Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Rice grading using image processing
description	This paper focusing about the methods used for rice grading using image processing. Various approaches have been applied by previous researchers to solve different types of difficulties in grading the quality of rice. Machine vision has been used in most application of rice grader to differentiate rice grade based on special features such as shape, length, chalkiness, color and internal damage of rice. RGB color model, histogram, edge detection are some ways which have been used to differentiate and analyzed degree level of rice. In this paper, we are also discussing and suggesting another method in rice grading for Malaysia’s type of rice using image processing method based on several features which is length, colour and shape.
format	Conference or Workshop Item
author	Tahir, Wan Putri Hussin, Norhaida Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan
author_facet	Tahir, Wan Putri Hussin, Norhaida Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan
author_sort	Tahir, Wan Putri
title	Rice grading using image processing
title_short	Rice grading using image processing
title_full	Rice grading using image processing
title_fullStr	Rice grading using image processing
title_full_unstemmed	Rice grading using image processing
title_sort	rice grading using image processing
publishDate	2015
url	http://irep.iium.edu.my/48010/ http://irep.iium.edu.my/48010/ http://irep.iium.edu.my/48010/1/128.pdf
first_indexed	2023-09-18T21:08:13Z
last_indexed	2023-09-18T21:08:13Z
_version_	1777411077098700800

Rice grading using image processing

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