Design of Automatic Mildew Image Detection System for Corn Grain

Juan Wang

Abstract


Using image processing technology, designed a corn grain mildew fast detection system. It could discriminate the mildew grain on the basis of the grain surface features, such as color features, morphological characteristics, and texture characteristics. Equipment mainly included three parts: mechanical transmission device, the image collection system, image processing software. By using the theory of corn seeder for reference, corn seed metering device discharged corn grain in uniform along the conveyor belt. Device adopted run 3 seconds stop 1 second cycle works. During the suspended period, completed image information acquisition, transmission and processing, by CCD cameras, lenses, camera obscura, computer, gigabit ethernet cable. It can avoid the overlap of grains, which could measure more grain at the same time. Using MATLAB GUI module to program image processing software, for automatic processing of corn grain sample figure. Maize kernels would be detected which occur mouldy, and then doing statistics of the mildew rate, detection accuracy could reach 90%.


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References


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