Abstract
In this study, a new non-contact method of cancer detection based on SIFT feature matching is proposed to track real-time the respiratory motion. And a new camera calibration method based on planar and 3D checkerboard templates is proposed to get high accuracy calibration parameters. Experiment results show that cameras calibration accuracy is 0.0365 mm and the biggest movement scope of the marker is not lager than 1.5 mm between the vision measurement and practical measurement in a breathing cycle and can achieve the real-time tracking for respiratory motion.
| Original language | English |
|---|---|
| Pages (from-to) | 3897-3902 |
| Number of pages | 6 |
| Journal | Information Technology Journal |
| Volume | 12 |
| Issue number | 16 |
| DOIs | |
| State | Published - 2013 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Binocular vision
- Camera calibration
- Precise radiotherapy
- Real-time tracking
- Respiratory motion
- SIFT feature matching
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