Measurement of concentration and size distribution of indoor PM10

被引：0

作者：

Liu, Hongli ^{[1
]}

Zhou, Xiong ^{[1
]}

Xiao, Lei ^{[1
]}

机构：

[1] School of Automation, Wuhan University of Technology, Wuhan

来源：

Advances in Intelligent Systems and Computing | 2013年 / 212卷

关键词：

Concentration and size distribution; Indoor PM10 (PM10); Mathematical morphology; Morphological parameters;

D O I：

10.1007/978-3-642-37502-6_83

中图分类号：

学科分类号：

摘要：

Adopting the microscopic observation imaging and digital image processing technologies, this paper researches a measurement method to the concentration and size distribution of indoor PM10. A new image threshold segmentation method based on the genetic algorithm and Otsu method has been put forward, which can obtain the segmentation threshold by the global optimization, and researches a identification algorithm to the main morphological parameters of a single indoor suspended particulate matter such as size, shape coefficient and the fractal dimension, then calculates the concentration and size distribution of particulate matter using data fusion method. The experimental results show that the method has advantages with intuitive, high precision, fast processing speed, easily data statistics, clearly data analysis and stable measuring results. © Springer-Verlag Berlin Heidelberg 2013.

引用

页码：697 / 705

页数：8

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