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Inventi Impact: Machine Vision

Articles

  • Inventi:emv/51/14
    RAPID DETECTION METHOD OF MOLDY MAIZE KERNELS BASED ON COLOR FEATURE
    30-Jun-2014 Research 2014 : July - September
    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\nmaize kernels were taken by the moldy maize sorting equipment, and three parts of every kernel, that is, moldy plaques, healthy\nendospermand healthy embryo, were selected fromthese images. Then a threshold was set in R channel by analyzing color features\nof those three parts in RGB model. In this method, moldy plaques can be identified roughly. After that the location of the moldy\nplaques on the kernels was studied, a circle, whose centre was approximately the centroid of amaize kernel and diameter was about\nthe width of embryos, was set to exclude the interference caused by shadow. This method, with the accuracy of 92.1%, laid a good\nfoundation for the further study of moldy maize sorting equipment.

    How to Cite this Article
    CC Compliant Citation: Xuan Chu, Yong Tao, Wei Wang, Ying\nYuan, and Mingjie Xi, â??Rapid Detection Method of Moldy Maize\nKernels Based on Color Feature,â? Advances in Mechanical\nEngineering, vol. 2014, Article ID 625090, 7 pages, 2014.\ndoi:10.1155/2014/625090.\nCopyright © 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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