A Real-Time Apple Grading System Using Multicolor Space

This study was focused on the multicolor space which provides a better specification of the color and size of the apple in an image. In the study, a real-time machine vision system classifying apples into four categories with respect to color and size was designed. In the analysis, different color s...

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Main Authors: Hayrettin Toylan, Hilmi Kuscu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/292681
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author Hayrettin Toylan
Hilmi Kuscu
author_facet Hayrettin Toylan
Hilmi Kuscu
author_sort Hayrettin Toylan
collection DOAJ
description This study was focused on the multicolor space which provides a better specification of the color and size of the apple in an image. In the study, a real-time machine vision system classifying apples into four categories with respect to color and size was designed. In the analysis, different color spaces were used. As a result, 97% identification success for the red fields of the apple was obtained depending on the values of the parameter “a” of CIE L*a*b*color space. Similarly, 94% identification success for the yellow fields was obtained depending on the values of the parameter y of CIE XYZ color space. With the designed system, three kinds of apples (Golden, Starking, and Jonagold) were investigated by classifying them into four groups with respect to two parameters, color and size. Finally, 99% success rate was achieved in the analyses conducted for 595 apples.
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institution Kabale University
issn 2356-6140
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-0d95b2dbc8fa4071a4e2d917f7dde5ab2025-02-03T01:31:30ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/292681292681A Real-Time Apple Grading System Using Multicolor SpaceHayrettin Toylan0Hilmi Kuscu1Pinarhisar Vocational High School, Department of Electricity, Kırklareli University, 39300 Kırklareli, TurkeyDepartment of Mechanical Engineering, Faculty of Architecture and Engineering, Trakya University, 22030 Edirne, TurkeyThis study was focused on the multicolor space which provides a better specification of the color and size of the apple in an image. In the study, a real-time machine vision system classifying apples into four categories with respect to color and size was designed. In the analysis, different color spaces were used. As a result, 97% identification success for the red fields of the apple was obtained depending on the values of the parameter “a” of CIE L*a*b*color space. Similarly, 94% identification success for the yellow fields was obtained depending on the values of the parameter y of CIE XYZ color space. With the designed system, three kinds of apples (Golden, Starking, and Jonagold) were investigated by classifying them into four groups with respect to two parameters, color and size. Finally, 99% success rate was achieved in the analyses conducted for 595 apples.http://dx.doi.org/10.1155/2014/292681
spellingShingle Hayrettin Toylan
Hilmi Kuscu
A Real-Time Apple Grading System Using Multicolor Space
The Scientific World Journal
title A Real-Time Apple Grading System Using Multicolor Space
title_full A Real-Time Apple Grading System Using Multicolor Space
title_fullStr A Real-Time Apple Grading System Using Multicolor Space
title_full_unstemmed A Real-Time Apple Grading System Using Multicolor Space
title_short A Real-Time Apple Grading System Using Multicolor Space
title_sort real time apple grading system using multicolor space
url http://dx.doi.org/10.1155/2014/292681
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