河川流計測における画像解析技術の実用化

Title (End) : Development & Practical Applications of Image-Based Techniques for River Velocity Measurements

It is presented in Mar.2013, as my master's course completion report meeting at the Kobe University.

HONDA is my old family name

1. 河川流計測における画像解析技術の実用化
Development & Practical Applications of
Image-Based Techniques for River Velocity Measurements
Masato HONDA
Research SupervisorI.Fujita
Department of Architecture and Civil Engineering
Graduate School of Science and Technology
Kobe University

2. Background

3. Problem

4. Background

5. Camera Calibration
object points

6. Camera Calibration

7. Camera Calibration
(making geo-rectified image with ease)
In the mountain, setting object points
is a difficult situation.

8. Camera Calibration

9. Float-PTV

10. Float-PTV

11. Float-PTV

12. STIV
Search line

13. STIV
①Set templates on
STI. Next,calculate
gradient tensor of
intensity in each
templates
②Histofram of
gradient on STI
③Calculate averaged
gradient φ on STI by
peak of histogram
-1.94 m/sec
22.0m

14. FFT STI FFT STI with equalization
STIV
-1.91 m/sec -1.93 m/sec

15. STIV

16. ①
⑩
STIV

17. How To Use NEW STIV software

18. How To Use NEW STIV software

19. How To Use NEW STIV software

20. How To Use NEW STIV software

21. Conclusion
›This study deals with the developments of Image
based Velocimetry measurements.
›For this purpose, we firstly developed camera
calibration and PTV software chasing floats.
›Next we established calibration software assuming
use in the mountain where surveyor cannot set
object points.
› Finally, we developed new STIV software. This soft
is useful and accurate.