Development of an automatic system for counting asbestos fibers using image processing

被引:18
|
作者
Inoue, Y [1 ]
Kaga, A
Yamaguchi, K
Kamoi, S
机构
[1] Osaka Univ, Dept Environm Engn, Suita, Osaka 5650879, Japan
[2] CRC Res Inst Inc, Kansai Branch, Chuo Ku, Osaka 5410056, Japan
关键词
D O I
10.1080/02726359808906799
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Atmospheric concentrations of carcinogenic asbestos fibers, have traditionally been measured visually using phase contrast microscopy. However, because this measurement method requires great skill, and has poor reproducibility and objectivity, the development of automatic counting methods has been long anticipated. We have developed the Asbestos Fibers Automatic Counting System (AFACS), and verified its accuracy via application to illustrations obtained from the Asbestos International Association (AIA). Important features of the AFACS system are as follows: (1) Counting criteria of the automatic counting system conform to those of visual counting. (2) The cost of the whole system is low because it is microcomputer-based.
引用
收藏
页码:263 / 279
页数:17
相关论文
共 50 条
  • [1] AUTOMATIC COUNTING OF ASBESTOS FIBERS IN AIR SAMPLES
    PAVLIDIS, T
    STEIGLITZ, K
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 1978, 27 (03) : 258 - 261
  • [2] Development of automatic counting system for urediospores of wheat stripe rust based on image processing
    Li Xiaolong
    Ma Zhanhong
    Bienvenido, Fernando
    Feng, Qin
    Wang Haiguang
    Antonio Alvarez-Bermejo, Jose
    [J]. INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2017, 10 (05) : 134 - 143
  • [3] AUTOMATIC PEDESTRIAN COUNTING USING IMAGE-PROCESSING TECHNIQUES
    ZHANG, X
    SEXTON, G
    [J]. ELECTRONICS LETTERS, 1995, 31 (11) : 863 - 865
  • [4] Automatic Rebar Counting using Image Processing and Machine Learning
    Wang, Han
    Polden, Joseph
    Jirgens, Josiah
    Yu, Ziping
    Pan, Zengxi
    [J]. 2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019), 2019, : 900 - 904
  • [5] The automatic counting of chlorella using image processing and neural network
    Sumi, Y
    Ota, M
    Yabuki, N
    Obote, S
    Matsuda, Y
    Fukui, Y
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2001, E84A (03) : 794 - 796
  • [6] DEVELOPMENT OF AUTOMATIC PARCEL DELIVERY SYSTEM USING IMAGE PROCESSING TECHNIQUES
    Kobata, Tomoki
    Tada, Yukio
    Muromaki, Takao
    [J]. 2016 INTERNATIONAL SYMPOSIUM ON FLEXIBLE AUTOMATION (ISFA), 2016, : 292 - 295
  • [7] EXPERIMENTAL STUDY FOR AUTOMATIC COLONY COUNTING SYSTEM BASED ON IMAGE PROCESSING
    Fang, Junlong
    Li, Wenzhe
    Wang, Guoxin
    [J]. COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 2, 2009, 295 : 1061 - +
  • [8] An automatic counting system for oviposited eggs based on Digital image processing
    Han, B
    Wang, ST
    Wei, J
    Wang, P
    Li, YR
    Wang, WD
    [J]. ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 6, 2005, : 539 - 543
  • [9] Automatic pipes counting system based on digital image processing technology
    Wang, Wencheng
    [J]. INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING, 2010, 7820
  • [10] IDENTIFICATION AND COUNTING OF ASBESTOS FIBERS
    TAYLOR, DG
    BARON, PA
    SHULMAN, SA
    CARTER, JW
    [J]. AMERICAN INDUSTRIAL HYGIENE ASSOCIATION JOURNAL, 1984, 45 (02): : 84 - 88