MEASURING THICKNESS OF FLAX FIBRES IN A CLUSTER USING COMPUTER VISION-Reference-Cited by-同舟云学术

MEASURING THICKNESS OF FLAX FIBRES IN A CLUSTER USING COMPUTER VISION

Published:2024-06-28 Issue:1 Volume:63 Page:5-11
ISSN:2587-6147
Container-title:Technologies & Quality
language:
Short-container-title:Tehnol. kač.

Author:

Orlov Alexander V.¹^ORCID,Pashin Evgeny L.²^ORCID

Affiliation:

1. Kostroma State University

2. Kostroma State Argicultural Academy

Abstract

Authors analyse a method of indirect measurement of flax fibre linear density using its thickness, based on computer vision approach and “distance transform” algorithm in particular. A number of flaws of this method are identified. The main reason for the discrepancy is the effect of crossed fibres within the analysed sample. The secondary reason is the specific shape of fibre’s topological skeletonnear its tips. Based on these observations, a software model of the problem has been created. The software produces a simplified image of crossed fibres with specified properties, and measures this image using the above method. The effect of various factors on the discrepancy in the distribution of thickness values appears to match well with theoretical analysis. Additionally, a number of ways to improve the software model are outlined, related to how typicallyfibres are oriented within the analysed sample.

Funder

Russian Science Support Foundation

Publisher

Kostroma State University

Reference8 articles.

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