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Determination of physical rice composition using image processing technique

Physical rice grain composition is one of the components used for rice grading which involve the identification of head rice and broken rice. Rice grading is important to ensure only edible rice reaches the consumer standard. It also protects consumers from price manipulation. In this paper, a new a...

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Main Authors:	Bibi Hanibah, Siti Sharifah, Bejo, Siti Khairunniza, Wan Ismail, Wan Ishak, Wayayok, Aimrun
Format:	Article
Published:	WFL Publisher 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/37030/ http://world-food.net/determination-of-physical-rice-composition-using-image-processing-technique/
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spelling	my.upm.eprints.370302015-08-21T10:58:46Z http://psasir.upm.edu.my/id/eprint/37030/ Determination of physical rice composition using image processing technique Bibi Hanibah, Siti Sharifah Bejo, Siti Khairunniza Wan Ismail, Wan Ishak Wayayok, Aimrun Physical rice grain composition is one of the components used for rice grading which involve the identification of head rice and broken rice. Rice grading is important to ensure only edible rice reaches the consumer standard. It also protects consumers from price manipulation. In this paper, a new approach of image processing technique has been developed to detect and identify head and broken rice based on its physical properties i.e. area, perimeter, minor axis length and major axis length. The rice images were first segmented automatically from its background by using Otsu’s method. Connected component analysis was later being applied to eliminate unwanted noise. Results from the statistical analysis have shown that area and perimeter give significant correlations with all of the other properties. Therefore, an area was later used as input parameter in developing a simple model of head and broken rice identification using a linear regression analysis. The model give promising results when tested with 0%, 1%, 5%, 10%, 15% and 20% of broken rice taken from 600 samples of rice images with the average percentage accuracy of 98%. This promising result provides an alternative way to grade rice. The method has an advantage on its simplicity, easy to be used and fast. It does not involve any step-by-step procedure to optimize the criterion and only takes four seconds to complete the operation. WFL Publisher 2014-01 Article PeerReviewed Bibi Hanibah, Siti Sharifah and Bejo, Siti Khairunniza and Wan Ismail, Wan Ishak and Wayayok, Aimrun (2014) Determination of physical rice composition using image processing technique. Journal of Food, Agriculture and Environment, 12 (1). pp. 205-209. ISSN 1459-0255; ESSN: 1459-0263 http://world-food.net/determination-of-physical-rice-composition-using-image-processing-technique/
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
description	Physical rice grain composition is one of the components used for rice grading which involve the identification of head rice and broken rice. Rice grading is important to ensure only edible rice reaches the consumer standard. It also protects consumers from price manipulation. In this paper, a new approach of image processing technique has been developed to detect and identify head and broken rice based on its physical properties i.e. area, perimeter, minor axis length and major axis length. The rice images were first segmented automatically from its background by using Otsu’s method. Connected component analysis was later being applied to eliminate unwanted noise. Results from the statistical analysis have shown that area and perimeter give significant correlations with all of the other properties. Therefore, an area was later used as input parameter in developing a simple model of head and broken rice identification using a linear regression analysis. The model give promising results when tested with 0%, 1%, 5%, 10%, 15% and 20% of broken rice taken from 600 samples of rice images with the average percentage accuracy of 98%. This promising result provides an alternative way to grade rice. The method has an advantage on its simplicity, easy to be used and fast. It does not involve any step-by-step procedure to optimize the criterion and only takes four seconds to complete the operation.
format	Article
author	Bibi Hanibah, Siti Sharifah Bejo, Siti Khairunniza Wan Ismail, Wan Ishak Wayayok, Aimrun
spellingShingle	Bibi Hanibah, Siti Sharifah Bejo, Siti Khairunniza Wan Ismail, Wan Ishak Wayayok, Aimrun Determination of physical rice composition using image processing technique
author_facet	Bibi Hanibah, Siti Sharifah Bejo, Siti Khairunniza Wan Ismail, Wan Ishak Wayayok, Aimrun
author_sort	Bibi Hanibah, Siti Sharifah
title	Determination of physical rice composition using image processing technique
title_short	Determination of physical rice composition using image processing technique
title_full	Determination of physical rice composition using image processing technique
title_fullStr	Determination of physical rice composition using image processing technique
title_full_unstemmed	Determination of physical rice composition using image processing technique
title_sort	determination of physical rice composition using image processing technique
publisher	WFL Publisher
publishDate	2014
url	http://psasir.upm.edu.my/id/eprint/37030/ http://world-food.net/determination-of-physical-rice-composition-using-image-processing-technique/
_version_	1643831894252453888
score	13.211869

Determination of physical rice composition using image processing technique

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