Oil Contamination Level Measurement Based on Microscopic Digital Image Processing

被引:0
|
作者
Li, Chuan [1 ,2 ]
Zhang, Xianming [2 ]
Dong, Yutao [2 ]
Liu, Ge [1 ]
Chen, Jing [1 ]
机构
[1] Chongqing Technol & Business Univ, Minist Educ, Engn Res Ctr Waste Oil Recovery, Chongqing 400044, Peoples R China
[2] Chongqing Technol & Business Univ, Coll Mech & Packaging Engn, Chongqing 400044, Peoples R China
关键词
Oil contamination level; particle; image processing; measurement; microscope;
D O I
10.1117/12.807701
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To control oil contamination is one of the most important tasks in operating a mechanical device. Oil contamination level is a quantitative parameter used to determine the level of contamination by measuring the number, sizes and distributions of solid particles in an oil substance. According to classification standards of particles contamination level, a novel method with microscopic digital image processing is proposed to measure it. At first the oil sample to be measured is filtered by a vacuum assisted device to gather the solid particles. The filter paper is placed in between two glasses, and the microscopic digital images of it are captured by an optical microscope and a Charge Coupled Device (CCD) camera. The images are then segmented and extracted accordingly. After processing these images, binary images are produced to facilitate the measurement of particle size distribution, which is used to classify the contamination level. Thanks to the application of microscopic digital image processing, the proposed method is able to produce a reliable result with much cheaper expense, which was proven by the results of an experiment.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Fuzzy Measurement Based Image Testing for Oil Particles Contamination Level
    Zhang, Yong
    Zhang, Xianming
    Li, Chuan
    Chen, Bin
    OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY, 2010, 7850
  • [2] Research on Digital Oil Painting Based on Digital Image Processing Technology
    Ma, Ying
    2020 IEEE CONFERENCE ON TELECOMMUNICATIONS, OPTICS AND COMPUTER SCIENCE (TOCS), 2020, : 351 - 354
  • [3] Accurate Measurement Study Based On Digital Image Processing
    Wang Shijun
    Mu Ping'an
    Dai Shuguang
    Liu Weiwei
    ICCSE 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, 2008, : 874 - 877
  • [4] Digital image processing technology applied in level measurement and control system
    Li, Chuyan
    Jia, Xinyu
    Li, Haiyu
    Deng, Lin
    Shi, Xianwei
    INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING 2011, 2011, 24 : 226 - 231
  • [5] Microscopic Measurement using Digital Image Restoration
    Du, Huayue
    Qian, Yong
    He, Suhong
    Wu, Chengguo
    Huang, Yanhua
    Li, Xia
    2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, : 1398 - 1402
  • [6] Defect measurement in CFRP drilling based on digital image processing
    Xuyan Zhang
    Wenjian Huang
    Chaoqun Wu
    Shiyu Cao
    The International Journal of Advanced Manufacturing Technology, 2023, 127 : 5405 - 5419
  • [7] Defect measurement in CFRP drilling based on digital image processing
    Zhang, Xuyan
    Huang, Wenjian
    Wu, Chaoqun
    Cao, Shiyu
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 127 (11-12): : 5405 - 5419
  • [8] Quantum digital image processing algorithms based on quantum measurement
    Yuan, Suzhen
    Mao, Xia
    Chen, Lijiang
    Xue, Yuli
    OPTIK, 2013, 124 (23): : 6386 - 6390
  • [9] Surface crack width measurement based on digital image processing
    Xie, Zongyuan
    Ma, Hongyan
    Ye, Yongxue
    Dou, Jiaming
    Li, Shengyan
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 2738 - 2743
  • [10] The Water Level Automatic Measurement Technology Based On Image Processing
    Li, Huiping
    Wang, Wei
    Ma, Fuchang
    Liu, Hongle
    Lv, Tao
    SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 621 - 626