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影像分析方法應用於土石流表面速度計算之研究

Application of Image Velocimetry for the Surface Velocity of Debris Flow

摘要


本文利用影像分析法計算水面顆粒移動的速度,以做爲發展土石流影像監測系統依據,以期低成本的監視影像除作爲定性監視土石流動外,赤可作爲定量分析土石流流速之依據。本文於實驗渠道以顆粒流實驗模擬土石流移動,並利用Cross-Correlation、MQD、STDS等影像演算法分析計算不同顆粒流密度移動時的表面流速,以探討適宜於土石流計算之演算法。實驗結果顯示Cross-Correlation適合於流場追蹤粒子密度較大之流場,STDS則在大顆粒流場量測有較好的結果,將研究結果初步應用於水土保持局所提供的現場土石流影像計算亦獲得良好結果。

關鍵字

土石流 影像監測 表面流速

並列摘要


The purpose of this paper is to present an analysis of image process for computing the surface velocity of the granular flow to develop the video monitoring system of the debris flows, and the low cost commercial Video-base systems can be also used to measure the velocity of the debris flow. In order to study the suit image recognizing method for the debris flows, the experiments of the granular flow are simulated as the debris flows; moreover, image recognizing method, Cross-Correlation, MQD, and STDS are used to compute the surface velocity. According to the results, Cross-Correlation method is useful to compute the surface velocity in higher density of the granular particles, however, STDS method is good to measure the movement of the big particles. Lastly, the nature debris flow images from the monitor of Soil and Water Conservation Bureau are analyzed to obtain the surface velocity by the image process.

被引用紀錄


梁仲志(2007)。機械視覺配合雙CCD三維量測判釋土石軌跡與粒徑分佈之研究〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2007.00387
洪健峰(2007)。土石流影像前處理與機械視覺判釋之整合研究〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2007.00385
劉榮斌(2006)。機械視覺與攝影測量判讀土石流特性參數之初步研究〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2006.00263
葉揚(2017)。變焦測距應用於表面流速的計算〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201702476
洪政豪(2012)。猴山岳步道邊坡的滑動方向分析〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-1008201223551900

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