Image correlation method to simulate physical characteristic of particulate matter

Deepak Gaur (), Deepti Mehrotra () and Karan Singh ()
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Deepak Gaur: Amity University
Deepti Mehrotra: Amity University
Karan Singh: JNU

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 2, No 14, 400-410

Abstract: Abstract In the modern era, quality of air impacts a lot on human health and on climate change. This change in trend develops an interest for researchers to work on techniques which deal with the monitoring of air quality. This paper, for the first time, applies digital image correlation method to identify the velocity of particulate matter in digital images. Velocity of flowing particles in the atmosphere is a crucial factor of their physical characteristics as fast moving particles effects lot on human health as well as on environmental change. The unique particulate characterization process involves image analysis, preprocessing, calibration, feature extraction and representation. Among all these phases, feature extraction by the digital image correlation method is the key for precisely measuring the velocity of particulate matter present in digital images. Simulated model was found to measure accurate flow of particulate matter in various digital images.

Keywords: Particulate matter (PM); Digital image correlation method (DIC); Archive of many outdoor scenes (AMOS) data set; Image processing (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s13198-019-00868-9

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