Adaptive neuro-fuzzy system for quantitative evaluation of woven fabrics’ pilling resistance

作者：

Highlights：

• Considered the texture features of the fabric images to quantize its pilling for the first time.

• Introduced a method for creating sampling dataset required in building the soft-computing classifier.

• Utilized the neuro-fuzzy classification system to approach the high level of human beings.

• Created a user-friendly GUI that integrates the main four stages of pilling evaluation.

摘要

•Considered the texture features of the fabric images to quantize its pilling for the first time.•Introduced a method for creating sampling dataset required in building the soft-computing classifier.•Utilized the neuro-fuzzy classification system to approach the high level of human beings.•Created a user-friendly GUI that integrates the main four stages of pilling evaluation.

论文关键词：Adaptive neuro-fuzzy system,Quantitative evaluation,Textural features,Woven fabric pilling

论文评审过程：Available online 22 October 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.10.013