Peer-reviewed articles 17,970 +



Title: COMPONENT RESEARCH OF INDUSTRIAL DUST PARTICLES EXPOSITION BY ANALYSIS OF MICROSCOPIC IMAGES

COMPONENT RESEARCH OF INDUSTRIAL DUST PARTICLES EXPOSITION BY ANALYSIS OF MICROSCOPIC IMAGES
A.N. Kokoulin; D.A.Kiryanov
1314-2704
English
17
43
Emissions of industrial plants contain a considerable quantity of different chemical components. These include ash, soot, smoke, sulfates, nitrates, oxides of metals and other solid components. The size of dust particles emitted by enterprises are defined by the process environment and the composition of raw materials used. Particle fractions less than 10 microns (PM10) and less than 2.5 microns (PM2.5) can penetrate to the upper and lower respiratory tract. Both short and long-term exposures of fine dust particles on human health leads to respiratory and cardiovascular diseases.
In this article we consider a novel fast approach based on wavelet transform for edge detection and simplified variant of active contours method - active primitives for the image processing in the research of dust emissions from industrial enterprises. The objective of the dust emissions analysis is to determine their component composition and the fine particle sizes distribution (PM10 and PM2.5). The scanning electronic microscope with high resolution was used to obtain the large-scale images of dust particles. We use the set of particles images in different scales as the entire imagery dataset for analysis algorithm.
conference
17th International Multidisciplinary Scientific GeoConference SGEM 2017
17th International Multidisciplinary Scientific GeoConference SGEM 2017, 27 ? 29 November, 2017
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
341-348
27 ? 29 November, 2017
website
cdrom
3820
wavelet-analysis; edge detection; industrial dust; particles exposition

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