Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Computer Applications》 2013-07
Add to Favorite Get Latest Update

New engineering method for defect detection of batteries based on computer vision

XU Jianyuan*,YU Hongyang(Research Institute of Electronic Science and Technology,University of Electronic Science and Technology of China, Chengdu Sichuan 611731,China)  
Equipment failure often brings some defects on the surface of batteries in the battery production process.The traditional artificial detection has weakness on the timeliness and durability.But there has not been any efficient automatic detection means for the ordinary battery by now.Concerning the distribution and morphological characteristics of the defects,a new automatic optical detection method based on computer vision was proposed.The proposed method used Canny operator and virtual granule collision method with the minimum value searching method to determine the area to be detected based on the battery anode surface morphology features.Considering the sharpness of the defect,Harris corner points were used to mark the defects as mark points.False mark points were filtered by the degree of aggregation of the points.The defect region would be extracted at last according to the location of mark points.The experimental results illustrate the detection success rate of the proposed method is over 90% and the method can work more efficiently than the popular wavelet analytical method.The study achievement provides a reference for product quality automatic detection on battery production.
【CateGory Index】: TM912;TP391.41
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 3 Hits
1 ZHANG Hongjun,LIU Tangyou(School of Information Science and Technology,Donghua University,Shanghai 201620,China);Combination with PCA and SVM Defect Recognition of Solar Cells[J];Video Engineering;2011-21
2 ZHANG Wu-jie1,LI Di2,YE Feng2(1.College of Automation Science and Engineering,South China University of Technology,Guangzhou Guangdong 510641,China;2.School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou Guangdong 510641,China);Texture defect inspection for silicon solar cell[J];Journal of Computer Applications;2010-10
3 LIU Xiao-hui,XU Lin,XIAO Chen-jiang,CAO Jian-ming,XIAO Jiao(Solar Energy Institute,Department of Physics,Shanghai Jiaotong University,Shanghai 200240,China);Identifying the Crack of Silicon Solar Cells Based on Matlab Image Processing[J];Journal of Shanghai Jiaotong University;2010-07
Chinese Journal Full-text Database 4 Hits
1 GUO Zhan-miao(Electronic Engineering Department of Xi'an Aeronautical Polytechnic Institute,Xi'an 710089,China);EL test in defects detection in photovoltaic solar cells/modules[J];Electronic Design Engineering;2012-13
2 Zhu Xifang Chen Gong Xu Qingquan Xu Ancheng Yang Hui(Changzhou Institute of Technology,Changzhou Jiangsu 213022,CHN);Analysis of Lithium Battery Film Defects Rapid Recognition Based on Improved Gray Correlation[J];Optoelectronic Technology;2013-02
3 SUN Hai-jie,LIN Jun-qiang,LI Zheng-tao,LI Tao,OUYANG Gao-fei;Study on classification decision for polycrystalline silicon solar cell based on color mechanical vision[J];Manufacturing Automation;2012-21
4 CHEN Gong,ZHU Xi-fang,XU Qing-quan,XU An-cheng,YANG Hui(Changzhou Institute of Technology,Changzhou Jiangsu 213022,China);Recognition of Film Defects for Lithium Battery based on Brightness and OAA-SVM[J];Communications Technology;2013-03
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Yan BeiWang BinLi Yuan(School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautic7s,Beijing 100083,China);Optimal ellipse fitting method based on least-square principle[J];Journal of Beijing University of Aeronautics and Astronautics;2008-03
2 LI Zhuo,QIU Hui-juan(Department of Optical Engineering,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China);Fast Image Matching Based on Correlation Coefficient[J];Transactions of Beijing Institute of Technology;2007-11
3 ZHANG Hong-tao1,DUAN Fa-jie1,DING Ke-qin2,YE Sheng-hua11.State Key Lab of Precision Measurement Technology & Instruments,Tianjin University,Tianjin 300072,China;2.Centre of Boiler and Pressure Vessel Inspection and Research,Beijing 100013,China;Study on On-Line Surface Defect Detection Vision System for Steel Strip[J];Chinese Journal of Sensors and Actuators;2007-08
4 Bai Xuebing,Wang Kejun(School of Automatization,Harbin Engineering University,Harbin 150001,P.R.China);Zou Lihui(Beijing Institute of Technology);Approach to Texture Segmentation of Wood Surface Defects Based on Gray Level Co-occurrence Matrix[J];Journal of Northeast Forestry University;2008-12
5 ZHANG Shi-qiang (The 45th Institute of CETC, BEIJING EAST YANJIAO 101601,China);Silk Screen Printing Technology of Silicon Solar Cell[J];Equipment for Electronic Products Manufacturing;2007-05
6 BAI Xiao-man, SHENG Jie-cheng (Beijing Jiaotong University, Beijing 100044, China);A New System of Face Recognition Based on PCA[J];Video Engineering;2006-05
7 YU Li-gong1, WANG Qiang2, CHEN Chun2 (1. Department of Computer, Nanjing University of Technology, Nanjing 210007, China; 2. College of Computer Science and Technique, Zhejiang University, Hangzhou 310027, China);On the Multi-Level Template Match Algorithm[J];Journal of Engineering Graphics;2005-03
8 WANG Yu-huai1,JIA Hong2,CHEN Yong-qing3,HOU Wei4(1.Qianjiang College,Hangzhou Normal University,Hangzhou Zhejiang 310012,China;2.The MOE Key Laboratory of Mechanical Manufacture and Automation,Zhejiang University of Technology,Hangzhou Zhejiang 310014,China;3.School of Mechanical Engineering,Ningbo University of Technology,Ningbo Zhejiang 315000,China;4.Infosys(China) Shanghai,Shanghai 200000,China);Detecting Surface Defections of Magnetic Ring Based on Machine Vision[J];Journal of Engineering Graphics;2010-05
9 WU Ji-gang,BIN Hong-zan (School of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China);Dimensional inspecting system of thin sheet parts based on machine vision[J];Optics and Precision Engineering;2007-01
10 ZHANG Wu-jie,YANG Yi-lu,LI Di,YE Feng(College of Mechanical Engineering,South China University of Technology,Guangzhou 510641,China);Key algorithms of automatic image measurement system[J];Optics and Precision Engineering;2007-02
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved