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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 劉格非 | |
dc.contributor.author | Kai-Yin Cheng | en |
dc.contributor.author | 鄭凱尹 | zh_TW |
dc.date.accessioned | 2021-06-16T02:26:58Z | - |
dc.date.available | 2015-08-05 | |
dc.date.copyright | 2015-08-05 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-08-04 | |
dc.identifier.citation | 1. Adrian, R. J, Particle-imaging techniques for experimental fluid mechanics, Annual review of fluid mechanics, 23(1), 261-304, 1991.
2. Creutin, J. D., M. Muste, and Z. Li, Traceless quantitative alternatives for measurements in nature streams, paper presented at Hydraulic Measurements and Experimental Methods, Am, Soc. of Civ. Eng., Estes Park, Colo, 2003. 3. Creutin, J. D., Muste, M., Bradley, A. A., Kim, S. C., & Kruger, A, River gauging using PIV techniques: a proof of concept experiment on the Iowa River. Journal of Hydrology, 277(3), 182-194, 2003. 4. Fujita, I., M. Muste, and A. Kruger, Large-scale particle image velocimetry for flow analysis in hydraulic engineering applications. Journal of Hydraulic Research, 36(3): pp. 397-414, 1998. 5. Hauet, A., Kruger, A., Krajewski, W. F., Bradley, A., Muste, M., Creutin, J. D., & Wilson, M, Experimental system for real-time discharge estimation using an image-based method.Journal of Hydrologic Engineering,13(2), 105-110, 2008. 6. Jodeau, M., Hauet, A., Paquier, A., Le Coz, J., & Dramais, G, Application and evaluation of LS-PIV technique for the monitoring of river surface velocities in high flow conditions. Flow Measurement and Instrumentation, 19(2), 117-127, 2008. 7. J.P. Lewis, Fast Normalized Cross-Correlation, 1995. 8. Kuo, Y. Y., Leu, L. G., & Kao, I. L, Directional spectrum analysis and statistics obtained from ERS-1 SAR wave images.Ocean Engineering, 26(11), 1125-1144, 1999. 9. Muste, M., Fujita, I., & Hauet, A, Large‐scale particle image velocimetry for measurements in riverine environments.Water resources research,44(4), 2008. 10. Mikhail, E. M., and F. Ackermann, Observation and Least Squares, Dun-Donnelley, New York, 1976. 11. Thurman, H. V, Essentials of oceanography, 1993. 12. Wolf, P, Elements of photogrammetry, McGraw-Hill, New York, pp. 559-601, 1983. 13. 陳台穎,「頻譜分析應用於決定衛星影像中的波向及水深推估」,國立交通大學土木工程學研究所碩士論文,2013 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/53649 | - |
dc.description.abstract | 近年來,台灣發生土石流災害頻率日益增加且造成許多地區人員傷亡及財產損失。為了要減少土石流災害造成的影響,所以需要更加了解土石流發生的運動行為。本研究利用頻譜分析發展一套現地影像流場的速度量測法。該方法考慮流速與波速之物理差異,並針對流體表面因光線照射與流動速度的不同,以進行其明暗變化訊號之分析。
透過影像灰階化後,其灰階值為流體運動隨空間變化之資訊,而將流場空間資訊視為一複合波形,並透過傅立葉轉換至頻率域作訊號分析,其分析方式採用波浪理論中的延散關係式,擷取較慢波速之深水波訊號,且以傅立葉反轉換至空7間域進行波形之速度分析。 本研究之結果顯示,該方法能解決以往影像量測法缺少可分析質點之缺陷,而其演算法較為迅速;但其波形判識仍需利用人工分析處理,且流速分析結果與雷達波流速儀相比之平均誤差約為26%,希望未來針對其誤差來源作修正。 | zh_TW |
dc.description.abstract | In recent years, debris-flow hazards occur frequently in Taiwan and cause casualties and property loss in many residential areas. In order to minimize the effect of such hazard, it requires more understanding of debris-flow’s behavior. The research is aim to develop an innovative image velocimetry, using spectrum analysis in the flow field. We took both celerity and water velocity into account to analyze the signal reflected from the water surface.
After the images were transformed to gray level, the gray value represents the information of fluid motion. We first consider the spatial information of flow field as composite waveform and then transfer it to the frequency domain by using Fourier transformation. Afterwards, the dispersion relationship of wave theory was adopted to analyze the signal. For doing the velocity analysis, we first capture the signal of deep water wave and applied the inverse Fourier transformation to turn it into spatial domain. In this research, the issue existing in current image velocimetry that the flow field lacks of analyzable particle can be improved. However, there is still a room for waveform identification. The average error is 26% comparing to the results obtained via the instrument. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T02:26:58Z (GMT). No. of bitstreams: 1 ntu-104-R02521318-1.pdf: 4449474 bytes, checksum: 862816e3eccb8c79f6d796209bee5213 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 口試委員審定書 I
摘要 II Abstract III 目錄 IV 圖目錄 VII 表目錄 X 第一章 導論 1 1.1 前言 1 1.2 研究方法與目的 1 1.3 文獻回顧 2 1.3.1 流場視覺化與影像紀錄 2 1.3.2 影像正交轉換 3 1.3.3 影像分析 4 1.3.4 影像分析之應用 5 1.3.5 頻譜分析之應用 6 1.4 論文架構 6 第二章 研究方法 7 2.1 影像座標轉換 7 2.2 影像處理 15 2.2.1 點處理增強 16 2.2.2 灰階度轉換 16 2.2.3 直方圖修整 16 2.2.4 平滑濾波 17 2.2.5 中值濾波 17 2.3 影像分析 17 2.3.1 流場質點影像量測 18 2.3.2 互相關法 19 2.3.3 自相關法 19 2.3.4 正規化互相關法 20 2.4 影像訊號轉換 21 2.5 頻譜分析 22 2.6 誤差分析 26 2.6.1 座標轉換之高程誤差 26 第三章 室內測量實驗 30 3.1 實驗渠槽 30 3.2 質點影像量測法 31 3.2.1 影像處理 31 3.2.2 影像分析 33 3.2.3 質點影像結果分析 34 3.3 頻譜分析影像流速 37 第四章 現地測量實驗 42 4.1 實驗設備 42 4.2 實驗佈置 43 4.3 實驗分析步驟 44 4.3.1 影像座標轉換 45 4.3.2 影像灰階值訊號擷取 47 4.3.3 頻譜圖分析、波形訊號分析 48 第五章 現地實驗結果與分析 50 5.1 波速門檻值的決定 50 5.2 流場斷面流速分析 53 5.2.1 頻譜分析流速之誤差 54 第六章 結論與建議 57 6.1 結論 57 6.2 建議 57 參考文獻 58 | |
dc.language.iso | zh-TW | |
dc.title | 利用頻譜分析影像流速之探討 | zh_TW |
dc.title | Investigating image velocimetry by spectrum analysis | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 詹錢登,周憲德,戴璽恆 | |
dc.subject.keyword | 影像處理,訊號處理,傅立葉轉換,頻譜分析, | zh_TW |
dc.subject.keyword | image processing,signal processing,Fourier transform,spectrum analysis, | en |
dc.relation.page | 58 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2015-08-04 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
顯示於系所單位: | 土木工程學系 |
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