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The Turbidity Measured by Division Image Analysis in Flow Type Sample  

Park, Jong-Ho (School of Biological Sciences and Technology, Chonnam National University)
Park, Soo-Haeng (College of Humanities and Social Sciences, Kangwon National University)
Ryu, Min-Su (School of Biological Sciences and Technology, Chonnam National University)
Publication Information
Applied Chemistry for Engineering / v.20, no.6, 2009 , pp. 681-684 More about this Journal
Abstract
The turbidity of flow type samples has a nonlinear relation to brightness of laser scattered light, but the shape of images in laser scattered light is different from each turbidity samples. The turbidity measurement will be easy if it uses a pattern of images in laser scattered light. But the excessive analysis load comes from the turbidity measured by red, green, blue intensity (intensity) of all pixels of images in laser scattered light. Therefore the images in laser scattered light were divided by appropriate block to decrease excessive analysis load. The shape of divided images in laser scattered light was different from each turbidity sample. The real turbidity has a linear relation to turbidity measured by the artificial neural network learned with the intensity of divided images in laser scattered light and turbidity.
Keywords
turbidity measurement; laser scattered light; image; image analysis; artificial neural network;
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