Abstract
This research has attempted to present a novel definition for apparent quality of weft knitted fabrics and their used yarns using the image analysis method and linear functions, which are calculated by neural networks. First, standard boards of yarn were analyzed using the image analysis method and artificial neural networks. Then, samples of plain, cross-miss and plain pique fabrics and their used yarns were tested for appearance. The results show that the correlation between apparent quality of knitted fabrics and their yarns is very strong. The ANOVA test confirmed that there is a strong influence of yarn type and fabric structure on fabric apparent quality. Although the yarn type has a strong effect on fabric appearance, the effect of fabric structure on its appearance is not remarkable. Other results show that the quality of the knitted fabric depends on the features of the raw materials and the effects of different knit elements.
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