Machine Vision System for Characterizing Horizontal Wicking and Drying Using an Infrared Camera

Mesfin Dema, Chris Turner, Hamed Sari-Sarraf, Eric Hequet

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Moisture transport properties of fabrics are of key interest within the textile industry. This paper introduces a new method to measure horizontal wicking and drying properties of a fabric using a thermal imaging machine vision system. By tracking the area of the wet region of a fabric specimen over time, five new features are measured that characterize key periods of the wicking and drying process. Experimental results show significant differences in these measurements for fabrics that have been treated with a proprietary formula known to improve wicking properties of fabrics. Furthermore, analysis shows that the repeatability of this new method shows marked improvement over current industry standards.

Original languageEnglish
Article number7377070
Pages (from-to)493-502
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Volume12
Issue number2
DOIs
StatePublished - Apr 2016

Keywords

  • Drying
  • Otsu's method
  • golden section search (GSS)
  • horizontal wicking
  • image processing
  • infrared (IR) imaging

Fingerprint

Dive into the research topics of 'Machine Vision System for Characterizing Horizontal Wicking and Drying Using an Infrared Camera'. Together they form a unique fingerprint.

Cite this