A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash

Volcanic ash fall-out represents a serious hazard for air and road traffic. The forecasting models used to predict its time–space evolution require information about the core characteristics of volcanic particles, such as their granulometry. Typically, such information is gained by the spot direct o...

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Autores principales:	Bruno Andò, Salvatore Baglio, Salvatore Castorina, Vincenzo Marletta
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	volcanic ash ash fall-out ash granulometry core-characteristics estimation vision-based paradigm Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/ed7bd939a942497d8bdc386304024ab9
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spelling	oai:doaj.org-article:ed7bd939a942497d8bdc386304024ab92021-11-11T19:10:13ZA Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash10.3390/s212171801424-8220https://doaj.org/article/ed7bd939a942497d8bdc386304024ab92021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7180https://doaj.org/toc/1424-8220Volcanic ash fall-out represents a serious hazard for air and road traffic. The forecasting models used to predict its time–space evolution require information about the core characteristics of volcanic particles, such as their granulometry. Typically, such information is gained by the spot direct observation of the ash collected at the ground or by using expensive instrumentation. In this paper, a vision-based methodology aimed at the estimation of ash granulometry is presented. A dedicated image processing paradigm was developed and implemented in LabVIEW™. The methodology was validated experimentally using digital reference images resembling different operating conditions. The outcome of the assessment procedure was very encouraging, showing an accuracy of the image processing algorithm of 1.76%.Bruno AndòSalvatore BaglioSalvatore CastorinaVincenzo MarlettaMDPI AGarticlevolcanic ashash fall-outash granulometrycore-characteristics estimationvision-based paradigmChemical technologyTP1-1185ENSensors, Vol 21, Iss 7180, p 7180 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	volcanic ash ash fall-out ash granulometry core-characteristics estimation vision-based paradigm Chemical technology TP1-1185
spellingShingle	volcanic ash ash fall-out ash granulometry core-characteristics estimation vision-based paradigm Chemical technology TP1-1185 Bruno Andò Salvatore Baglio Salvatore Castorina Vincenzo Marletta A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash
description	Volcanic ash fall-out represents a serious hazard for air and road traffic. The forecasting models used to predict its time–space evolution require information about the core characteristics of volcanic particles, such as their granulometry. Typically, such information is gained by the spot direct observation of the ash collected at the ground or by using expensive instrumentation. In this paper, a vision-based methodology aimed at the estimation of ash granulometry is presented. A dedicated image processing paradigm was developed and implemented in LabVIEW™. The methodology was validated experimentally using digital reference images resembling different operating conditions. The outcome of the assessment procedure was very encouraging, showing an accuracy of the image processing algorithm of 1.76%.
format	article
author	Bruno Andò Salvatore Baglio Salvatore Castorina Vincenzo Marletta
author_facet	Bruno Andò Salvatore Baglio Salvatore Castorina Vincenzo Marletta
author_sort	Bruno Andò
title	A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash
title_short	A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash
title_full	A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash
title_fullStr	A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash
title_full_unstemmed	A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash
title_sort	vision-based approach for the analysis of core characteristics of volcanic ash
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ed7bd939a942497d8bdc386304024ab9
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A Vision-Based Approach for the Analysis of Core Characteristics of Volcanic Ash

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