Objective evaluation of singeing efficiency by digital image processing

A. Khandual, George Baciu, A. Luximon, N. Rout

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

An objective and reliable evaluation method for the efficiency of singeing process is developed by use of digital image processing. The overall fabric surface roughness before and after the singeing process has been estimated and evaluated comprehensively, specifically experimenting for darker shade samples that are prone to visual inspection errors. The energy, entropy, inertia, and homogeneity parameters of images of the fabric after and before singeing have been identified as the suitable descriptors of fabric surface roughness. A new integrating sphere imaging system that has been designed indigenously was used for image capture and analysis of unsinged and singed fabric with a digital DSLR camera. The imaging system ensures controlled, diffused and uniform illumination across the samples. The proposed evaluation method is found to be suitable and economic for analysis of singeing efficiency.
Original languageEnglish
Pages (from-to)273-281
Number of pages9
JournalJournal of the Textile Institute
Volume107
Issue number2
DOIs
Publication statusPublished - 1 Feb 2016

Keywords

  • GLCM features
  • homogeneity
  • image processing
  • roughness
  • singeing efficiency

ASJC Scopus subject areas

  • Materials Science (miscellaneous)
  • Agricultural and Biological Sciences(all)
  • Polymers and Plastics
  • Industrial and Manufacturing Engineering

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