Rice grading using image processing

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)

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Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6919/48010
Uncontrolled Keywords:	rice grading, image processing
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Mr. Zaw Zaw Htike
Date Deposited:	22 Jan 2016 15:31
Last Modified:	22 May 2018 12:56
URI:	http://irep.iium.edu.my/id/eprint/48010

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