Turbidity detection using Image Processing

被引：0
|
作者：
Karnawat, Vaibhav [1 ]
Patil, S. L. [1 ]
机构：
[1] Coll Engn Pune, Dept Instrumentat & Control, Pune 411005, Maharashtra, India
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA) | 2016年
关键词：
Image processing; turbidity; nephelometry; thresholding; histogram;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The motivation behind this projected work is to design a new technique to determine turbidity of water samples using Image Processing. Classical method of turbidity detection implies manual procedures characterized by long calibration time, additional common errors and lower repeatability. The technique suggested in this paper consists of capturing water sample images using high definition camera and applying image processing techniques to characterize those samples with different amount of turbidity. Data base is created for water samples with different amount of turbidity using laboratory method of turbidity measurement is can be used anywhere and at anytime in the world wherever Image Processing technique is used for turbidity detection. Image processing outcomes are compared with this data base to give direct and accurate turbidity measurement in fraction of seconds.
引用
收藏
页码：1086 / 1089
页数：4
相关论文
共 50 条
  • [11] DETECTION WEEDS IN THE FIELD USING IMAGE PROCESSING
    Prasad, P. Siva Satya
    Subbarao, K. V. V.
    Vani, G.
    ADVANCES AND APPLICATIONS IN MATHEMATICAL SCIENCES, 2021, 20 (11): : 2671 - 2676
  • [12] Detection of Weed and Wheat Using Image Processing
    Hameed, Sarmad
    Amin, Imran
    2018 5TH IEEE INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGIES AND APPLIED SCIENCES (IEEE ICETAS), 2018,
  • [13] Fire Detection in the Buildings Using Image Processing
    Seebamrungsat, Jareerat
    Praising, Suphachai
    Riyamongkol, Panomkhawn
    2014 THIRD ICT INTERNATIONAL STUDENT PROJECT CONFERENCE (ICT-ISPC), 2014, : 95 - 98
  • [14] Detection Of Leaf Disease Using Image Processing
    Vijayashree, T.
    Anuhya, B.
    RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2018, 9 (04): : 1634 - 1639
  • [15] Attentiveness Detection of Crowd Using Image Processing
    Tirpude, S. C.
    Moharil, Neha
    Agrawal, Aditi
    Chandak, Komal
    Akhtat, Farhan
    BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2020, 13 (14): : 381 - 384
  • [16] Detection of osteoporosis using image processing methods
    Bo, Yu
    Chen, Guanyu
    Li, Lin
    Tao, Xiaoxia
    Zhao, Rong
    JOURNAL OF OPTICS-INDIA, 2024, 53 (04): : 2898 - 2908
  • [17] Fraudulence Detection Using Image Processing Approach
    Mendhe, Sanchita S.
    Ratnaparkhe, V. R.
    PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 1539 - 1542
  • [18] Plant Disease Detection Using Image Processing
    Khirade, Sachin D.
    Patil, A. B.
    1ST INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION ICCUBEA 2015, 2015, : 768 - 771
  • [19] Pest Detection on Leaf using Image Processing
    Nagar, Harshita
    Sharma, R. S.
    2021 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2021,
  • [20] Oxidation Detection on PCB Using Image Processing
    Sani, Abdullah
    Pratama, Risqi Sani
    2020 3RD INTERNATIONAL CONFERENCE ON APPLIED ENGINEERING (ICAE), 2020,
12345