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The Scientific World Journal
Volume 2014 (2014), Article ID 292681, 10 pages
Research Article

A Real-Time Apple Grading System Using Multicolor Space

1Pinarhisar Vocational High School, Department of Electricity, Kırklareli University, 39300 Kırklareli, Turkey
2Department of Mechanical Engineering, Faculty of Architecture and Engineering, Trakya University, 22030 Edirne, Turkey

Received 4 November 2013; Accepted 19 December 2013; Published 19 January 2014

Academic Editors: J.-H. Jang and G. Sutter

Copyright © 2014 Hayrettin Toylan and Hilmi Kuscu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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 “” of CIE color space. Similarly, 94% identification success for the yellow fields was obtained depending on the values of the parameter of CIE 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.