title: A real-time apple grading system using multicolor space.
abstract: 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.
authors.affiliation: Pinarhisar Vocational High School, Department of Electricity, Kırklareli University, 39300 Kırklareli, Turkey.
authors.forename: Hayrettin
authors.identifier: 0000-0001-8542-7254
authors.initials: H
authors.lastname: Toylan
authors.affiliation: Department of Mechanical Engineering, Faculty of Architecture and Engineering, Trakya University, 22030 Edirne, Turkey.
authors.forename: Hilmi
authors.identifier: 0000-0003-3134-9769
authors.initials: H
authors.lastname: Kuscu
mesh_terms: D003116:Color; D003199:Computer Systems; D063427:Food Quality; D027845:Malus