Angle analysis of fabric wrinkle by projected profile light line method, image processing and neuro-fuzzy system

ABSTRACT

One of the factors that affects the appearance of the garment is the wrinkle. For this purpose, clothing manufacturers try to measure and predict the wrinkle grade, but the reported grade may vary in non-standard conditions. Measuring the wrinkle grades of fabrics is usually done by experts according to the AATCC test method 128–996. The main problem of grading by this method is the credibility, reliable repeatable, and accuracy of the rating results because of the subjectivity of the grading in one direction. In other words, for the complicated 3D shape of the wrinkled fabric, the wrinkle should be evaluated objectively and subjectively in all directions of the sample. For this purpose, the wrinkled samples are rated subjectively by expert persons according to the AATCC128-996 method in various judge angles. Then integrating the ‘Profile Light Line Method’ and image processing technique are applied for objectively or instrumental measuring of the parameters used in ratting of wrinkle of the fabrics. Finally, an adaptive neuro-fuzzy inference system was used to objectively determine of wrinkle grade of fabric. Furthermore, principal component analysis and feature selection methods are used for increasing the accuracy of the proposed approach.

KEYWORDS:

• Wrinkle grade of fabrics
• profile light line method
• image processing
• adaptive neuro-fuzzy system

Disclosure statement

No potential conflict of interest was reported by the authors.