文章基本信息

标题：Development of an Automated Machine for Grading Raisins based on Color and Size
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作者：M. Omid ; M. Sharouzi ; A.R. Keyhani 等
期刊名称：Journal of Modelling and Simulation of Systems
印刷版ISSN：1737-9377
电子版ISSN：1737-9385
出版年度：2010
卷号：1
期号：3
出版社：HyperSciences Publisher
摘要：In this paper, design and testing of a machine vision based raisin sorter is presented. The proposed MV system consists of electronic, pneumatic and mechanical parts. The hardware is made up of a conveyor belt, eight pneumatic valves, a co mpressor and a control unit. The controller, which has a microcontroller as its main core, is used for the communication between the PC and the pneumatic valves via RS232 series port. By using the capture card, the camera sends images of raisins to the computer to be processed and have the raisins sorted accordingly. By a suitable combination of length and RGB color values raisins are graded it two classes. The PC sends proper commands, via the microcontroller, to actuators (valves) in order to reject defected raisins. The image processing algorithm has been implemented in Visual Basics environment. The developed program allows the user to easily co nfigure the GUI in order to get high quality sorting results. To evaluate the performance of the sorter under various densities and impurities of raw raisins, as two factors affecting the accuracy of the sorter, some statistical tests were performed. The results of statistical analysis showed that with the existing number of valves, the optimum distance between two consecutive raisins should be 5 mm and the changes in the percentages of impurity does not have a significant effect on the overall performance of the machine on the level of 5%. Therefore, the sorter can provide a 99% pure output with less than 2% of loss
关键词：Grading; Bulk raisin; Image processing; Machine vision; RGB; Color features; Software