Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23519
Title: Objective evaluation of singeing efficiency by digital image processing
Authors: Khandual, A
Baciu, G 
Luximon, A 
Rout, N
Keywords: GLCM features
Homogeneity
Image processing
Roughness
Singeing efficiency
Issue Date: 2015
Publisher: Routledge, Taylor & Francis Group
Source: Journal of the Textile Institute, 2015 How to cite?
Journal: Journal of the Textile Institute 
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.
URI: http://hdl.handle.net/10397/23519
ISSN: 0040-5000
EISSN: 1754-2340
DOI: 10.1080/00405000.2015.1027081
Appears in Collections:Journal/Magazine Article

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