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COMPONENT RESEARCH OF INDUSTRIAL DUST PARTICLES EXPOSITION BY ANALYSIS OF MICROSCOPIC IMAGES
Abstract
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.
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