河川流計測における画像解析技術の実用化

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October 19, 24

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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.

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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

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Background

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Problem

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Background

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Camera Calibration object points

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Camera Calibration

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

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Camera Calibration

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Float-PTV

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Float-PTV

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Float-PTV

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STIV Search line

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STIV 22.0m -1.94 m/sec 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

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

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STIV

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STIV ① ⑩

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How To Use NEW STIV software

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How To Use NEW STIV software

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How To Use NEW STIV software

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How To Use NEW STIV software

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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.