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Image Processing An Experimental Analysis of Image Processing in Fluidic Process.

机译:图像处理流体过程中图像处理的实验分析。

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摘要

Image processing in canals, rivers and other bodies of water has been a very important concern. This research using Image Processing was performed to obtain a photographic evidence of the data of the site which helps in monitoring the conditions of the water body and the surroundings. Images are captured using a digital camera and the images are stored onto a datalogger, these images are retrieved using a cellular/satellite modem. A MATLAB program was designed to obtain the level of water by just entering the file name into to the program, a curve fit model was created to determine the contrast parameters. The contrast parameters were obtained using the data obtained from the gray scale image mainly the mean and variance of the intensity values. The enhanced images are used to determine the level of water by taking pixel intensity plots along the region of interest. The level of water obtained is accurate to less than 2% of the actual level of water observed from the image.;High speed imaging in micro channels have various application in industrial field, medical field etc. In medical field it is tested by using blood samples. The experimental procedure proposed determines the flow duration and the defects observed in these channel using a fluid introduced into the micro channel the fluid being water based dye and whole milk. The viscosity of the fluid shows different types of flow patterns and defects in the micro channel. The defects observed vary from a small effect to the flow pattern to an extreme defect in the channel such as obstruction of flow or deformation in the channel. The sample needs to be further analyzed by SEM to get a better insight on the defects.
机译:运河,河流和其他水域中的图像处理一直是非常重要的问题。进行了使用图像处理的这项研究,以获取该地点数据的照相证据,这有助于监测水体和周围环境的状况。使用数码相机捕获图像并将图像存储到数据记录器中,然后使用蜂窝/卫星调制解调器检索这些图像。设计了一个MATLAB程序,只需在程序中输入文件名即可获得水位,然后创建曲线拟合模型来确定对比度参数。使用从灰度图像获得的数据获得对比度参数,主要是强度值的均值和方差。增强图像用于通过沿感兴趣区域绘制像素强度图来确定水位。所获得的水位精确到小于从图像中观察到的实际水位的2%。;微通道中的高速成像在工业领域,医学领域等中有各种应用。在医学领域中,使用血液进行测试样品。提出的实验程序使用引入微通道的流体确定了水流的持续时间和在这些通道中观察到的缺陷,该流体是水基染料和全脂牛奶。流体的粘度显示了不同类型的流型和微通道中的缺陷。观察到的缺陷从对流型的小的影响到在通道中的极端缺陷(例如通道的流动受阻或变形)不等。样品需要通过SEM进行进一步分析,以更好地了解缺陷。

著录项

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Engineering Mechanical.
  • 学位 M.S.
  • 年度 2011
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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