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《Optoelectronic Technology》 2013-02
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Analysis of Lithium Battery Film Defects Rapid Recognition Based on Improved Gray Correlation

Zhu Xifang Chen Gong Xu Qingquan Xu Ancheng Yang Hui(Changzhou Institute of Technology,Changzhou Jiangsu 213022,CHN)  
Lithium battery film on-line defect recognition system is realized rapidly based on industrial improved gray correlation algorithm.Area of defect is sorted and the largest defect,with its geometry and projection dada is extracted from image.Film defects of lithium battery recognition is realized based on improved gray correlation analysis(IGCA).Experiment results show that IGCA is effective and feasible,the accuracy can reach 91.2%.
【Fund】: 2012年江苏省常州市科技计划项目(CE20120071);; 2012年江苏省常州市高新区科技发展计划项目(XE120121408-2)
【CateGory Index】: TM912
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