Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Modular Machine Tool & Automatic Manufacturing Technique》 2013-04
Add to Favorite Get Latest Update

Study on Detection System of Bullet Surface Defect Based on Machine Vision

SHI Jin-wei,GUO Chao-yong,LIU Hong-ning(Department of Basic Courses,Ordnance Engineering College,Shijiazhuang 050003,China)  
In order to realize automatic detection of bullet surface defect,the detection system of bullet surface defect based on machine vision is studied.Firstly,according to the image properties of bullet surface detect,the disappointment to segment defect by gray threshold and the only one color model is analyzed,the image segmentation based on hybrid color model is proposed,it is realized that the bullet surface defect is segmented quickly and accurately;Secondly,the properties of bullet surface defect are analyzed,12 distinct defect feature parameters are extracted from shape,color and texture,the feature of bullet surface defect is extracted;Finally,the BP neural network is selected as the classification machine of bullet surface defect,according to the experience and experiment,the structure and parameters of neural network are ensured,after analyzing the disappointment of traditional BP neural network,which is applied in the classification of bullet surface defect,the BP method is optimized by changing the standard of convergence、self adaptive step and adding momentum,the classification effect of neural network is improved.The experiment shows that the defect can be segmented,recognized and classified automatically by the detection system of bullet surface defect,the discriminating rate can reach 91.7%,put up a good ability of accuracy and robustness.
【Fund】: 总装重点预研项目基金资助
【CateGory Index】: TJ410.6;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 6 Hits
1 ZHANG Zhensheng,ZHU Mingri College of Computer and Control,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China;Image segmentation method for sucrose-crystallizing based on HSI color space[J];Computer Engineering and Applications;2011-11
2 Zhan Hui,Li Xiaoyu,Wang Wei,Wang Chenglong,Zhou Zhu,Huang Yi (College of Engineering,Huazhong Agricultural University,Wuhan 430070,China);Determination of chestnuts grading based on machine vision[J];Transactions of the Chinese Society of Agricultural Engineering;2010-04
3 ZHANG Hong-wei,SONG Zhi-huan(State Key Laboratory of Industrial Control Technology,Institute of Industrial Process Control,Zhejiang University,Hangzhou 310027,China);A Copper Compositions Soft Sensor Using Color Vision and LSSVR[J];Journal of Shanghai Jiaotong University;2011-08
4 LIU Huai-guang,CHEN You-ping,XIE Jing-ming,PENG Xiang-qian(College of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China);Research on Online Recognition Technology for Float Glass Defects[J];Journal of Chinese Computer Systems;2011-04
5 Han Yingli~(1,2) Yan Yunhui~1~1(Mechanical Engineering and Automation school,Northeastern University,Shenyang 110004,China)~2(Information Technology Institute,Zhanjiang Normal University,Zhanjiang 524048,China);Discernment and classification of banding strip surface defect based on BP neural network[J];Chinese Journal of Scientific Instrument;2006-12
6 ZHANG Guo-yi,HU Zheng (Key Laboratory of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications,Beijing 100876,China);Improved BP neural network model and its stability analysis[J];Journal of Central South University(Science and Technology);2011-01
Chinese Journal Full-text Database 10 Hits
1 LI Chang-le,ZANG Xi-zhe,CHENG Wan-sheng,ZHAO Jie(Robot Research Institute,Harbin Institute of Technology,Harbin 150080,China);Image denoising method on surface of steel strip based on partial differential equations[J];Journal of Dalian Maritime University;2008-01
2 Ma Jun Su Hansong Ren Xing(School of Electronics and Information Engineering,Tianjin University,Tianjin 300072);Application of BP neural network on the quality control of cataplasm coating[J];Electronic Measurement Technology;2011-10
3 Li Gang,Wang Ren-huang,Li Pei (Faculty of Automation,Guangdong University of Technology,Guangzhou 510006,China);Detection of Defects in Process Balls Based on BP Neural Network[J];Journal of Guangdong University of Technology;2012-01
4 ;Research on Recognition of Strip Steel Surface Defect Based on Support Vector Machine[J];Industrial Control Computer;2012-08
5 ZHANG Jin1,ZHAO Yue-min2(1.School of Environment and Spatial Informatics;2.School of Chemical Engineering and Technology,China University of Mining and Technology,Xuzhou 221008,China);BP Neural Network Prediction Model for Sorting Electric and Electronic Waste by Falcon[J];Environmental Science & Technology;2013-03
6 HUANG Jian,SONG Zhi-huan,CHEN Wen-wei,LI Bin(State Key Laboratory of Industrial Control Technology,Institute of Industrial Process Control, Zhejiang University,Hangzhou 310027,China);A fast extracting method for the region of interest of copper image[J];Transducer and Microsystem Technologies;2013-07
7 ZHANG Zhi-ru (College of Automation,University of Electronic Science and Technology,Chengdu 610054,China);Application of SVM in image classification[J];Information Technology;2009-08
8 DUAN Shi-jiang,MA Li,SHI Long-fei,WANG Wen-chao,SONG Zhao-peng,GONG Chang-rong(College of Tobacco Science,Henan Agricultural University,Zhengzhou 450002,China);Detection on content of β-carotene during bulk curing based on image processing[J];Journal of Hunan Agricultural University(Natural Sciences);2011-05
9 JIN Yan, YANG Changhui, ZHANG Jianxun(College of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400050 ,China);Defect Recognition of Steel Surface Based on Neural Networks and Morphology[J];Machine Tool & Hydraulics;2010-21
10 MENG Hong-fei1,NIU Jian-qiang1,YANG Rui-rui1,DUAN Shi-zhong2(1.Electronic and Information Engineering College,Henan University of Science and Technology,Luoyang Henan 471003,China; 2.China Airborne Missile Academy,Luoyang Henan 471003,China);Feature extraction and recognition based on banana-radar echo images[J];Journal of Computer Applications;2011-02
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 FENG Jian-hui,YANG Yu-jing (Faculty of Land Resource Engineering of Kuming University of Science and Technology, Kuming,Yunnan,650093);Study of Texture Images Extraction Based on Gray Level Co-Occurence Matrix[J];Beijing Surveying and Mapping;2007-03
2 CHEN Bin1,WAN Jiang-wen2,WU Yin-feng2,QIN Nan1(1.School of Computer Science and Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China;2.School of Instrument Science and Opto-Electronics Engineering,Beihang University,Beijing 100083,China);A Pipeline Leakage Diagnosis for Fusing Neural Network and Evidence Theory[J];Journal of Beijing University of Posts and Telecommunications;2009-01
3 JIN Yong,WANG Zhao-ba(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China);Research on automatic detection technology for float glass tape[J];Transducer and Microsystem Technologies;2008-12
4 ZHAO Shan1,CUI Jiang-tao2,ZHOU Li-hua2(1.College of Computer Science and Technology,Henan Polytechnic University,Jiaozuo 454003,China;2.Research Institute of Multimedia,Xidian University,Xi’an 710071,China);New spatial image descriptor based on color vector angle[J];Opto-Electronic Engineering;2007-03
5 WANG Qin~1, WANG Wei-xing~2, ZHANG Shao-hong~3, HONG Tian-sheng~1, YU Xin-hua~4 (1 College of Information, South China Agric. Univ., Guangzhou 510642, China; 2 College of Engineering, South China Agric. Univ., Guangzhou 510642, China; 3 Equipment Assets Management Department, South China Agric. Univ., Guangzhou 510642, China; 4 College of Life Science, South China Agric. Univ., Guangzhou 510642, China);Research on extracting the fibre cell region in a eucalyptus image based on fuzzy C-means clustering[J];Journal of South China Agricultural University;2005-03
6 Zhou Yunyan Yang Kuntao Huang Ying(College of Optoelectronics Science and Engineering,Huazhong Universityof Science and Technology,Wuhan 430074,China);Improved Otsu thresholding based on minimum inner-cluster variance[J];Journal of Huazhong University of Science and Technology(Nature Science Edition);2007-02
7 CHEN Bai-sheng(Department of Computer Science,Huaqiao University,Quanzhou,Fujian 362011);A New Algorithm for Binary Connected Components Labeling[J];Computer Engineering and Applications;2006-25
8 WANG YueCAO Changxiu;(1.Automation Institute of Chongqing University ,Chongqing 4000442.Computer Science and Enginerring Dept.of Chongqing Industrial Institute, Chongqing 400050);Analysis of Local Minimization for BP Algorithm and Its Avoidance Methods[J];Computer Engineering;2002-06
9 LI Jing~1,XUE Long~2,LIU Mu-hua~1,YAN Lin-Yuan~1 (1.College of Engineering and Technology,JAU,Nanchang 33045,China;2.Library of East China Jiaotong University,Nanchang 330013,China);A Study on Navel Orange Grading System Based on Computer Vision[J];Acta Agriculturae Universitatis Jiangxiensis;2006-02
10 ZHANG Hai dong,LAI Kang sheng,DAI Dong ming,ZHAO Xiang yang (State Key Lab.for Materials Modification by Laser,Ion and Electron Beams,Dalian University of Technology,Dalian 116024,China);Application of Fuzzy Neural Network on Parameter Recognition of Steel Strip′s Nondestructive Testing[J];Computer Automated Measurement & Control;2003-01
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved