Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Naito M, Hayakawa O et al (1998) Effect of particle shape on the particle size distribution measured with commercial equipment. Powder Technol 100(01):52–60
Liu H, Li C, Li L, Zhang W (2008) Research of detecting the size distribution for indoor inhaled particulate matters. J Wuhan Univ Technol (Transp Sci Eng) 32(5):884–887
Yuan Q (2001) Digital image processing M. Electronic Industry Publishing House, BeiJing, pp 429–480
Liu H, Zhao Z, Xie Q, Xu H (2011) Suspending particle edge detection method with multi-scale and multi-structural elements. J Wuhan Univ Technol (Inf Manage Eng) 33(3):346–348
Haitao R, Guirong W (2004) The image edge-detection based on mathematics morphology. J Suzhou Univ 20(2):42–45
Friedlander SK, Xiong C (2000) Measurments of fractal-likatmospheric particles. Aerosol Sci Technol 31:226–227
Cai J, Zhao J, Fang R (2002) Research on the Mensuration of Grain Size Using Computer Vision. J Agric Eng 18(3):161–164
Hu X, Zeng W, Wu C (2007) Study on relation between surface fractal dimension and it’s particle’s shape index. China Powder Sci Technol 13(2):14–17
Mosharraf M, Nystrom C (1995) The effect of particle size and shape on the surface specific dissolution rate of micro sized practically insoluble drugs. Int J Pharm 122:35–47
Dellino P, Liotino G (2002) The fractal and multifractal dimension of volcanic ash particles contour a test study on the utility and volcanological relevance. J Volcanol Geoth Res 113:1–18
Xu K, Sun H, Yang C et al (2006) Application of morphological filtering to online detection of surface crack of medium and heavy steel plate. Chin J Sci Instrum 27(9):1018–1011
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, H., Zhou, X., Xiao, L. (2013). Measurement of Concentration and Size Distribution of Indoor PM10. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_83
Download citation
DOI: https://doi.org/10.1007/978-3-642-37502-6_83
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37501-9
Online ISBN: 978-3-642-37502-6
eBook Packages: EngineeringEngineering (R0)