河川流計測における画像解析技術の実用化

Title in English: Development & Practical Applications of Image-Based Techniques for River Velocity Measurements

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

Transcript

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 Supervisor I.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 ① Set templates on STI. Next,calculate gradient tensor of intensity in each templates ② Histofram of gradient on STI ③ Calculate 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.