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Bhubaneshwar, India

Baciu G.,Hong Kong Polytechnic University | Luximon A.,Hong Kong Polytechnic University | Rout N.,Modern Engineering College
Journal of the Textile Institute | Year: 2015

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. © 2015 The Textile Institute

Khandual A.,Hong Kong Polytechnic University | Khandual A.,Modern Engineering College | Luximon A.,Hong Kong Polytechnic University | Luximon A.,Modern Engineering College | And 6 more authors.
Materials Today: Proceedings | Year: 2015

An internal arrangement of fibres in the yarn plays a key role in determining the physical properties and the performance characteristics of yarns and fabrics. Crosswise and lengthwise fiber migration and twist are important components to generate strength and cohesion in yarns. Their objective study is becoming essential as various new yarns has been developed with dissimilar properties and they are blended frequently. In addition, many modern techniques of spinning coming up since last few decades. Though new equipment and image processing techniques has been reported by few scientists, it is still jargon for new researchers to apply it for their own investigation. We demonstrated here how image processing technique in MATLAB could be employed by taking tracing fibre images from economic USB camera to evaluate tracing fibre angle accurately. This non-destructive evaluation method could potentially be applied in various fields of biomedical imaging, material engineering and other photogrammetric applications. © 2015 Elsevier Ltd.

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