Adaptive neuro-fuzzy system for quantitative evaluation of woven fabrics pilling resistance
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.
adaptive neuro-fuzzy system quantitative evaluation woven fabric pilling textural features