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Color calibration of digital images for improvement of movement analysis
Ondřej Rozinek, Zoltán Szabó
Language English Country Czech Republic
- MeSH
- Video Recording methods standards utilization MeSH
- Color MeSH
- Diagnostic Techniques and Procedures utilization MeSH
- Diagnostic Imaging methods instrumentation utilization MeSH
- Financing, Organized MeSH
- Humans MeSH
- Linear Models MeSH
- Image Processing, Computer-Assisted methods instrumentation utilization MeSH
- Movement physiology MeSH
- Regression Analysis MeSH
- Hand physiology MeSH
- Models, Theoretical MeSH
- Check Tag
- Humans MeSH
Two video sequences of hand motion are analyzed using passive markers for medical diagnostic purposes. Th e correct detection of the marker's position is essential for the next motion evaluation step. GretagMacbeth ColorChecker chart is used for color correction of the video sequences, compensation of diff erent contrast, and brightness conditions during the motion recording. Diff erent color calibration methods were compared based on linear, and cubic Hermite functions, and the multiple linear regression model. Th eir effi ciencies were evaluated from the movement analysis point of view. Th e best results were achieved with multiple linear regression model.
The third Biomedical Engineering Conference of Young Biomedical Engineers and Researchers, July 8-10, 2008 Ostrava, The Czech Republic
Bibliography, etc.Lit.: 8
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- $a Two video sequences of hand motion are analyzed using passive markers for medical diagnostic purposes. Th e correct detection of the marker's position is essential for the next motion evaluation step. GretagMacbeth ColorChecker chart is used for color correction of the video sequences, compensation of diff erent contrast, and brightness conditions during the motion recording. Diff erent color calibration methods were compared based on linear, and cubic Hermite functions, and the multiple linear regression model. Th eir effi ciencies were evaluated from the movement analysis point of view. Th e best results were achieved with multiple linear regression model.
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