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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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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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. |
format | Article |
id | doaj-art-0d95b2dbc8fa4071a4e2d917f7dde5ab |
institution | Kabale University |
issn | 2356-6140 1537-744X |
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 |
work_keys_str_mv | AT hayrettintoylan arealtimeapplegradingsystemusingmulticolorspace AT hilmikuscu arealtimeapplegradingsystemusingmulticolorspace AT hayrettintoylan realtimeapplegradingsystemusingmulticolorspace AT hilmikuscu realtimeapplegradingsystemusingmulticolorspace |