Detection of the Concentration and Size Distribution of Indoor Inhalable Particle Based on Mathematical Morphology
Adopting the microscopic observation imaging and digital image processing technologies, this paper researches a new measuring method of indoor inhalable particulate matter concentration and size distribution .It realizes denoising, binarization, filtering and edge detection to based on mathematical morphology, regional filled and calibration detection to particulate matter image, designs the parameters recognition algorithm for particulate matter size, fractal dimension ,shape factors and so on, 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.
Keywords: Indoor Inhalable Particle£¬ Mathematical Morphology£¬ concentration and size distribution£¬ Morphogical Parameters.
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ABOUT THE AUTHORS
Hongli Liu
Hongli Liu received a Master Degree in Engineering from Huazhong University of Science and Technology , Wuhan, China, in 1996 and a Ph.D.degree also from Huazhong University of Science and Technology in 2009. She is now a associate professor and master\'s supervisors at Wuhan University of Technology, Wuhan, China. Her research interests cover the measurement technology &automatic device and image processing.
Xiong Zhou
Xiong Zhou received the B.E. degree from Hubei Polytechnic University, Huangshi, China, in 2012. Now he is a student in the Sensor and Detection Laboratory at Wuhan University of Technology to study for a Master Degree in Engineering.
Lei Xiao
Lei Xiao received the B.E. degree from Yangtze University, Jingzhou, China,in 2011.Now he is a student in the Sensorand Detection Laboratory at Wuhan University of Technology to study for a Master Degree in Engineering.
Hongli Liu
Hongli Liu received a Master Degree in Engineering from Huazhong University of Science and Technology , Wuhan, China, in 1996 and a Ph.D.degree also from Huazhong University of Science and Technology in 2009. She is now a associate professor and master\'s supervisors at Wuhan University of Technology, Wuhan, China. Her research interests cover the measurement technology &automatic device and image processing.
Xiong Zhou
Xiong Zhou received the B.E. degree from Hubei Polytechnic University, Huangshi, China, in 2012. Now he is a student in the Sensor and Detection Laboratory at Wuhan University of Technology to study for a Master Degree in Engineering.
Lei Xiao
Lei Xiao received the B.E. degree from Yangtze University, Jingzhou, China,in 2011.Now he is a student in the Sensorand Detection Laboratory at Wuhan University of Technology to study for a Master Degree in Engineering.
