Image Identification for Surface Defects of Steel Ball Based on Support Vector Machine

被引：2
|
作者：
Yu, Yong Wei [1 ]
Yin, Guo Fu [1 ]
Du, Liu Qing [1 ]
机构：
[1] Sichuan Univ, Chengdu 610064, Peoples R China
来源：
ADVANCES IN MECHANICAL DESIGN, PTS 1 AND 2 | 2011年 / 199-200卷
关键词：
Image Identification; Support Vector Machine; Surface Defect; Steel Ball; REDUCTION;
D O I：
10.4028/www.scientific.net/AMR.199-200.1769
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In response to the dilemma for image identification by the existing classifier toward surface defects of steel ball, an improved support vector machine (SVM) for multiclass problems is proposed. Minimum distance method is presented to resolve the unclassifiable region of the multiclass SVMs. The 16 image features of the surface defects are selected as input vector of the SVMs. The experiment results show that more accurate identification toward surface defects of steel ball was achieved by the improved multiclass SVM and the accuracy can reach 95%.
引用
收藏
页码：1769 / 1772
页数：4
相关论文
共 50 条
  • [41] Composite Defects Diagnosis using Parameter Optimization Based Support Vector Machine
    Chun, Wen Xiang
    Yie, Leong Wai
    ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 4, 2010, : 578 - +
  • [42] Fault Severity Diagnosis of Ball Bearing by Support Vector Machine
    Yang-seok, Kim
    Do-hwan, Lee
    Dae-woong, Kim
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, 2013, 37 (06) : 551 - 558
  • [43] Image Classification via Support Vector Machine
    Sun, Xiaowu
    Liu, Lizhen
    Wang, Hanshi
    Song, Wei
    Lu, Jingli
    PROCEEDINGS OF 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2015), 2015, : 485 - 489
  • [44] Road Identification Algorithm of Intelligent Tire Based on Support Vector Machine
    Wang Y.
    Liang G.
    Wei Y.
    Wei, Yintao (weiyt@tsinghua.edu.cn), 1671, SAE-China (42): : 1671 - 1678and1717
  • [45] Gas identification based on sensor array and support vector machine classification
    Wang, XD
    Zhang, HR
    Wang, JS
    Xu, XL
    Du, H
    PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 1, 2004, : 763 - 767
  • [46] Obscene Picture Identification Based on Wavelet Transform and Support Vector Machine
    Liu, Chun
    Xie, Changsheng
    Zhu, Guangxi
    Wang, Qingdong
    ADVANCED RESEARCH ON COMPUTER EDUCATION, SIMULATION AND MODELING, PT II, 2011, 176 (02): : 161 - 166
  • [47] System Identification of AUV Hydrodynamic Model Based on Support Vector Machine
    Chen, Ying
    Wang, Wenjin
    Xu, Guohua
    2017 IEEE 7TH INTERNATIONAL CONFERENCE ON UNDERWATER SYSTEM TECHNOLOGY: THEORY AND APPLICATIONS (USYS), 2017,
  • [48] Damage degree identification of crane girder based on the support vector machine
    Li, Xiangdong
    Xi, Honghao
    Gu, Wenjie
    Zhou, Chao
    Gao, Tianyu
    2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018), 2018, : 920 - 924
  • [49] Structural Damage Identification Based on the Transmissibility Function and Support Vector Machine
    Diao, Yansong
    Men, Xue
    Sun, Zuofeng
    Guo, Kongzheng
    Wang, Yumei
    SHOCK AND VIBRATION, 2018, 2018
  • [50] GBTWSVM: Granular-Ball Twin Support Vector Machine
    Zhao, Lixi
    Zhang, Zhifei
    Liu, Wenjun
    Lang, Guangming
    ROUGH SETS, PT I, IJCRS 2024, 2024, 14839 : 238 - 251
12345