OBJECTIVE MEASUREMENT OF FABRIC SOFTNESS AND PILLING USING HAND CRAFTED FEATURES AND DEEP LEARNING

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2021-12-09

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Mammadli, Seymur

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Fabric softness is a complex tactile sensation perceived by the user even before the fabrics are worn. Softness is usually the property of surface perceived by touching or pressing a finger on the fabric surface. Fabric friction properties significantly affect the tactile sensation of the garments. The yarn used, the finishing works, and the fabric structure (weaving, knitting, etc.) affect the softness. In addition, the hardness of the water used during washing, washing movements, the amount and content of the detergent and softener used also have permanent effects on the fabric softness. Softness can be evaluated by the jury members with proven effectiveness according to the predetermined scale. Our achievement within the scope of the thesis is to eliminate the differences that may occur as a result of the subjective evaluation, which may arise from qualitative observations by basing the degree of softness evaluated qualitatively on numerical data and to obtain clearer and more precise results by adding quantitative features to the evaluation process. The methodology developed for softness assessment is also applied for another textile deterioration parameter, namely pilling, and its results are also reported.

Subject Keywords

Deep learning, Machine learning, Hand crafted features

URI

https://hdl.handle.net/11511/95190

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Graduate School of Informatics, Thesis

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Citation Formats

S. Mammadli, “OBJECTIVE MEASUREMENT OF FABRIC SOFTNESS AND PILLING USING HAND CRAFTED FEATURES AND DEEP LEARNING,” M.S. - Master of Science, Middle East Technical University, 2021.