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《Journal of Hunan University(Natural Sciences)》 2009-07
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Research on the Detection and the Recognition System of Impurity in Transfusion Solution Based on Camshift Algorithm and SVM

WANG Ke-na1,2,WANG Yao-nan1,LU Juan1,ZHANG Ying1(1.College of Electrical and Information Engineering,Hunan Univ,Changsha,Hunan 410082,China;2.College of Mechanical and Automobile Engineering,Hunan Univ,Changsha,Hunan 410082,China)  
Considering that the intelligent detection and recognition of impurity in transfusion solution is a critically needed technology in pharmaceutical device production,a method for impurity detection and recognition using video image processing technology was proposed.Firstly,the impurity objects in several continuous rotated transfusion solution bottle frames were extracted cursorily by subtracting between two frames.Then,some image processing technologies were utilized to eliminate bubble noises and extract impurity objects accurately.And then,the Camshift tracing algorithm was adopted to trace the impurity to ensure the correct detection.Finally,Support Vector Machine was used to recognize the type of impurities with the extracted motion and geometrical features of impurities.Experiment results have shown that the mean detection and recognition rate is 95.4% for impurities equal and larger than four pixels in diameter.Mean detection and recognition time is 581ms for one transfusion solution bottle.
【Fund】: 国家863计划项目资助(2007AA04Z244)
【CateGory Index】: TP391.41
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