Implementation Of Digital Image Processing And Computation Technology On Measurement And Testing Of Various Knit Fabric Parameters
Andrian Wijayono, Valentinus Galih Vidia Putra

TL;DR
This paper discusses how digital image processing and computational technology can enhance measurement and testing of knit fabric parameters, improving quality control in textile manufacturing.
Contribution
It introduces methods of applying image processing technology for evaluation and quality control of knit fabrics, advancing textile quality assessment techniques.
Findings
Enhanced accuracy in fabric parameter measurement
Improved quality control processes using image analysis
Potential for automation in textile evaluation
Abstract
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.
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Taxonomy
TopicsIndustrial Vision Systems and Defect Detection · Textile materials and evaluations
