The algorithms of image processing and analysis in the textile fabrics abrasion assessment

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Abstract

The abrasion resistance and susceptibility of textiles to surface damage is an important issue for their utility properties. The currently used test method for abrasion resistance assessment has been based on criteria that define the breakage point of fabrics, visually identified and highly depended on observer perception. Taking under consideration the character of abrasion assessment process the efforts were made to elaborate the new alternative test technique which supports this evaluation. The abrasion resistance tests using instrumental method (based on image analysis tools) parallel with standard method were carried out. There were two steps of analysis. Firstly, the preliminary analysis for selecting the most effective and sensitive algorithm was carried out. Secondly, the final analysis, involving whole range of captured image samples, using chosen algorithm, based on image histogram calculation was done. Summarizing the abrasion resistance tests results obtained using both standard and instrumental methods it was found that the instrumental method gave more complex results during identification of surface changes caused directly by the abrasion process. The instrumental method is more sensitive to surface texture modifications and colour fade and its discrimination threshold is significantly lower than standard methods with qualitative breakage criteria (such as broken threads, loss of pile).

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APA

Jasińska, I. (2019). The algorithms of image processing and analysis in the textile fabrics abrasion assessment. Applied Sciences (Switzerland), 9(18). https://doi.org/10.3390/app9183791

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