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《Computer Engineering》 2005-12
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Research and Application of Grain Pests Detection and Classification Technology

FAN Yanfeng1,3, ZHEN Tong2,3 (1. College of Computer Science, Northwest Polytechnical University, Xi’an 710072; 2. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074; 3.College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450052 )  
This paper presents the technique of the detection and classification of stored-product pest and provides the hardware composition ofthe detection system. With reference to the first order gray histogram of pest images and their graphic target zones, a new technique and method areprovided to extract the mathematical and statistic feature, texture feature and geometrical configuration features of the pests are acquired. Asexperiments demonstrates, this digital image processing technique can reveal a range of reliable eigenvalue and effectively increase the efficiency ofidentification. This technique has become a new vehicle to the classification and identification of stored-product pest.
【Fund】: 河南省自然科学基金资助项目(0324220027);; 河南省教育厅基础研究基金资助项目(2003520262)
【CateGory Index】: TP391.4
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