Abstract
Falling sphere viscometer is one of the most commonly used techniques in experimentally determining fluid viscosity. This method requires the measurement of the terminal velocity of a falling sphere inside the fluid, which remains a challenging and costly task, especially if high precision is required. This paper presents the development of a low-cost visionbased falling sphere viscometer. The velocity measurement is performed by incorporating two linear image sensors which allow faster frame rate. A specific object detection algorithm based on background subtraction is developed to analyze the image data in real-Time. The experimental setup and implementation are also presented.
| Original language | English |
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| Title of host publication | 2017 IEEE International Conference on Signal and Image Processing Applications |
| Publisher | IEEE |
| Pages | 279-283 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509055593 |
| DOIs | |
| Publication status | Published - 30 Nov 2017 |
| Event | 5th IEEE International Conference on Signal and Image Processing Applications 2017 - Kuching, Sarawak, Malaysia Duration: 12 Sept 2017 → 14 Sept 2017 |
Conference
| Conference | 5th IEEE International Conference on Signal and Image Processing Applications 2017 |
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| Abbreviated title | ICSIPA 2017 |
| Country/Territory | Malaysia |
| City | Kuching, Sarawak |
| Period | 12/09/17 → 14/09/17 |
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Signal Processing