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Inventi Impact - Machine Vision

Articles

  • Inventi:emv/51/14
    RAPID DETECTION METHOD OF MOLDY MAIZE KERNELS BASED ON COLOR FEATURE
    Xuan Chu, Yong Tao, Wei Wang, Ying Yuan, Mingjie Xi

    In order to find the moldy maize kernels quickly, a method based on machine vision was proposed in this paper. Firstly, images of maize kernels were taken by the moldy maize sorting equipment, and three parts of every kernel, that is, moldy plaques, healthy endospermand healthy embryo, were selected fromthese images. Then a threshold was set in R channel by analyzing color features of those three parts in RGB model. In this method, moldy plaques can be identified roughly. After that the location of the moldy plaques on the kernels was studied, a circle, whose centre was approximately the centroid of amaize kernel and diameter was about the width of embryos, was set to exclude the interference caused by shadow. This method, with the accuracy of 92.1%, laid a good foundation for the further study of moldy maize sorting equipment.

    How to Cite this Article
    CC Compliant Citation: Xuan Chu, Yong Tao, Wei Wang, Ying Yuan, and Mingjie Xi, “Rapid Detection Method of Moldy Maize Kernels Based on Color Feature,” Advances in Mechanical Engineering, vol. 2014, Article ID 625090, 7 pages, 2014. doi:10.1155/2014/625090. Copyright © 2014 Xuan Chu et al. 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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