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《Journal of Henan University of Technology(Natural Science Edition)》 2006-01
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DETECTION OF PESTS IN STORED-GRAIN BASED ON IMAGE RECOGNITION

LIAN Fei-yu,ZHANG Yuan(School of Information Science and Technology,Henan University of Technology,Zhengzhou 450052,China)  
The high dimensional image vector of pests in stored grain was compressed with the wavelet transform.The high frequency part expresses the boundary and profile of the image,and the image is compressed and characterized effectively.Support Vector Machines(SVM) group incorporated with the elimination strategy is proposed to deal with the multi-class recognition problem.In this method, the difference among the confidence interval about the SVM is considered and the redundancy of each SVM was used to reduce the recognition error.The results of the recognition experiments with 100 images show that the method has reached a high recognition rate and a reasonable time.
【Fund】: 河南工业大学引进人才专项基金(150162)
【CateGory Index】: S379.5
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