本文選題：氣液兩相流 + 小波去噪��； 參考：《天津大學》2016年碩士論文

【摘要】：最近幾十年,隨著科學技術(shù)不斷推動,氣液兩相流廣泛應(yīng)用于石油、醫(yī)學、制造、航天、生物等多方面領(lǐng)域。氣液兩相流測量技術(shù)得到了廣泛重視,從二維測量逐漸發(fā)展為三維測量,為氣液兩相流研究提供了更廣闊的研究平臺。圖像處理與重建,以及可視化測量成為主要的研究手段之一,并不斷取得理論及技術(shù)成果。本文基于高速攝影法,通過實驗所得圖像測量氣液兩相流參數(shù),搭建了基于OpenGL的軟件平臺,針對氣液兩相流特征提出了三維重建算法。同時設(shè)計三維重建結(jié)果的評估方法,通過對圖像處理結(jié)果深入研究和比較,實現(xiàn)算法優(yōu)化和誤差補償。其中本課題相關(guān)研究工作總結(jié)如下:1、設(shè)計和優(yōu)化了圖像處理算法。圖像處理算法設(shè)計,包括圖像灰度、差影、反色、中值濾波、閾值分割等。針對課題中圖像去噪難點進行深入分析。對幾種去噪算法特性比較,基于小波變換理論分析,通過小波去噪對中值濾波以及閾值分割進行算法優(yōu)化。2、研究和分析圖像匹配技術(shù)國內(nèi)外現(xiàn)狀,實現(xiàn)快速、精確的圖像匹配算法。結(jié)合課題實驗研究,針對匹配算法的高精度需求,采用基于輪廓和對數(shù)極坐標變換的匹配算法。基于氣泡輪廓特征,使匹配速度大幅提高。對數(shù)極坐標變換適用于實驗課題下高密度氣泡的基于輪廓特征匹配,通過設(shè)計實現(xiàn)圖像匹配評價方法,表明對數(shù)極坐標匹配精準度更高、匹配成功率更高。3、基于圖像預(yù)處理和圖像匹配算法,設(shè)計圖像插值算法。通過對高密度多相流氣泡特性分析,實驗驗證多項式插值可滿足精度要求,并取得較好的可視化效果。設(shè)計了圖像插值評價方法,通過結(jié)果數(shù)據(jù)分析,多項式插值精度高、程序運行時間短。4、基于OpenGL三維重建平臺設(shè)計。通過對實驗課題深入研究,OpenGL軟件平臺適用于氣液兩相流三維重建算法研究以及可視化實現(xiàn)。根據(jù)實驗參數(shù)精度和可視化需求,平臺實現(xiàn)了圖像窗口大小、旋轉(zhuǎn)變換、背景渲染、多視角視圖、硬件控制等軟件設(shè)計。
[Abstract]:In recent decades, with the development of science and technology, gas-liquid two-phase flow has been widely used in many fields such as petroleum, medicine, manufacture, spaceflight, biology and so on.The technology of gas-liquid two-phase flow measurement has been paid more and more attention, from two-dimensional measurement to three-dimensional measurement, which provides a broader research platform for gas-liquid two-phase flow research.Image processing and reconstruction, as well as visual measurement, have become one of the main research methods, and continue to achieve theoretical and technical results.In this paper, based on high-speed photography, the parameters of gas-liquid two-phase flow are measured by experimental images, a software platform based on OpenGL is built, and a three-dimensional reconstruction algorithm for gas-liquid two-phase flow characteristics is proposed.At the same time, the evaluation method of 3D reconstruction results is designed, and the algorithm optimization and error compensation are realized through the in-depth study and comparison of image processing results.The related research work is summarized as follows: 1. The image processing algorithm is designed and optimized.Image processing algorithm design, including image grayscale, differential image, inverse color, median filter, threshold segmentation and so on.The difficulty of image denoising is analyzed deeply.The characteristics of several denoising algorithms are compared. Based on the wavelet transform theory, the median filtering and threshold segmentation are optimized by wavelet denoising. The present situation of image matching technology is studied and analyzed.Accurate image matching algorithm.The matching algorithm based on contour and logarithmic polar transformation is adopted to meet the high precision requirement of the matching algorithm.Based on the bubble profile feature, the matching speed is greatly improved.Logarithmic polar coordinate transformation is suitable for contour feature matching of high-density bubbles under experimental project. The method of image matching evaluation is designed and realized, which shows that logarithmic polar coordinate matching is more accurate.The success rate of matching is higher. 3. Based on image preprocessing and image matching algorithm, image interpolation algorithm is designed.By analyzing the bubble characteristics of high density multiphase flow, the experimental results show that polynomial interpolation can meet the precision requirements and achieve a good visualization effect.The image interpolation evaluation method is designed. Through the analysis of the result data, the polynomial interpolation accuracy is high, the program running time is short. 4. The program is designed based on OpenGL 3D reconstruction platform.The OpenGL software platform is suitable for 3D reconstruction and visualization of gas-liquid two-phase flow.According to the precision of experimental parameters and the requirement of visualization, the platform realizes the software design of image window size, rotation transformation, background rendering, multi-view view, hardware control and so on.
【學位授予單位】：天津大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP391.41

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