2018/09/28 by Andrian Wijayono, Wijayono, Andrian, Valentinus Galih Vidia Putra +1
Engineering · Materials Science · #Artificial intelligence #Computer science #Control (management) #Digital image processing #Engineering #Engineering drawing #FOS: Electrical engineering #Field (mathematics) #Image (mathematics) #Image and Video Processing (eess.IV) #Image processing #Industrial Vision Systems and Defect Detection #Industrial engineering #Manufacturing engineering #Materials science #Process (computing) #Process control #Production (economics) #Quality (philosophy) #Textile #Textile industry #Textile materials and evaluations #eess.IV #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1810.06422
published in arXiv (Cornell University) (Cornell University) · 40 Pages
arxiv created 2018/09/28 · openalex publication_date 2018/09/28 · arxiv updated 2018/10/16 · openalex created_date 2022/08/02 · openalex updated_date 2026/07/28
One of the big challenges of the industry today is how to produce quality products, one of which is in the knit fabric industry. The improvement of the evaluation and quality control processes of non woven production has been widely developed to support the improvement of the quality of production. The use of information and computational technology is now widely applied to the quality control process of textile material production, one of which is the use of image processing technology in the evaluation process of knit fabric. This chapter will explain various methods of applying image processing technology in the field of evaluation and quality control of textile production.