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Inventi Impact - Machine Vision

Articles

  • Inventi:emv/49/14
    A REAL-TIME APPLE GRADING SYSTEM USING MULTICOLOR SPACE
    Hayrettin Toylan, Hilmi Kuscu

    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.

    How to Cite this Article
    CC Compliant Citation: Hayrettin Toylan and Hilmi Kuscu, “A Real-Time Apple Grading System Using Multicolor Space,” The Scientific World Journal, vol. 2014, Article ID 292681, 10 pages, 2014. doi:10.1155/2014/292681. Copyright © 2014 Hayrettin Toylan and Hilmi Kuscu. This is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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