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《Transactions of the Chinese Society for Agricultural Machinery》 2008-04
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Research Progress and Prospect for Image Recognition of Stored-grain Pests

Mao Hanping Zhang Hongtao(Jiangsu University)  
The detection system for stored-grain pests based on image processing technology has many advantages of rapidness,accuracy,visualization and etc.In order to take full advantages of the foreign and native research findings,improve its research and application in this field in China,the research progress of automatic recognition for stored-grain pests outside and inside grain kernels was summarized by utilizing computer image processing technology based on three methods,such as visible image,near infrared image and soft X-ray.The superiority and inferiority of each method was analyzed.Further key research work from five aspects was presented,such as new feature extraction,recognition of live and dead pests,detection of early pest infestation,dynamic image technique,development of automatic separating and transmitting machine,so the automatic detection of stored-grain pests could be actualized.
【Fund】: 江苏省属高校自然科学重大基础研究项目(项目编号:05KJA21018);; 江苏大学博士研究生创新计划项目
【CateGory Index】: S379.5
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