REAL

Non-Intrusive Bedload Granulometry Using Automated Image Analysis

Buček, Daniel and Orfánus, Martin and Dušička, Peter (2019) Non-Intrusive Bedload Granulometry Using Automated Image Analysis. POLLACK PERIODICA, 14 (3). pp. 75-85. ISSN 1788-1994 (print); 1788-3911 (online)

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Abstract

This paper presents a proprietary open source code for analysis of granulometric properties of bed load material based on non-intrusive automated image analysis. Vertical bedsurface images are processed using the proposed tool and verified with results obtained by well tested optical granulometry tool Basegrain. The practical application of the proposed tool yields accuracy comparable that of the tested framework and traditional sampling methods. Additionally, results showed that the average D50 grain-size sampled from riverbed of studied river section of river Danube agrees up to 95% with the average D50 sampled from riverbanks.

Item Type: Article
Additional Information: MTA KFB támogatási szerződés alapján archiválva
Subjects: T Technology / alkalmazott, műszaki tudományok > TA Engineering (General). Civil engineering (General) / általános mérnöki tudományok
Depositing User: Violetta Baliga
Date Deposited: 24 Feb 2020 13:13
Last Modified: 31 Dec 2021 00:16
URI: http://real.mtak.hu/id/eprint/106542

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