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Research Article Open Access
In this research work, an objective evaluation method for assessing aesthetic appearance of apparel based fabric having five different wefts by image processing technique is suggested. Surface texture characteristics such as energy, entropy, inertia have been estimated by different image processing techniques. Fast fourier transform (FFT) power spectrum method is used to estimate the surface texture in terms of fractal dimension (FD). Subjective evaluation of appearance for different fabric samples has been carried out by experts and its correlation with image processing based texture characteristics is determined. Effect of five different weft yarn characteristics on the fabric appearance is investigated. Negative correlation is obtained between fractal dimension & energy while rest of the parameters have resulted good positive correlation. The surface of the fabric with polyester textured filament yarn showed the uniform texture while fabric with cotton slub weft exhibited the rough texture. The results also suggest that all the texture results from image analysis based objective methods are very well correlated with the subjective texture results. A preliminary study was also done to derive the textural parameters from the geometrical parameters of the slub yarn. But the textural parameters do not seem equal to any of the geometrical parameters of the slub yarn. For this, probably a more detailed study is needed with different quality of slub yarn. The research work is in progress to give a mathematical relation between the fabric texture and slub yarn geometrical parameters.
Texture, Fractal dimension, Weft yarn, Slub yarn, Textured polyester yarn, Texture, Fractal dimension, Weft yarn, Slub yarn, Textured polyester yarn