Implementation of Digital Image Processing and Computation Technology on Measurement and Testing of Non Woven Fabric Parameters
Andrian Wijayono, Irwan, Valentinus Galih Vidia Putra

TL;DR
This paper discusses how digital image processing and computational technology can enhance the measurement and testing processes for non-woven fabric parameters, improving quality control in textile manufacturing.
Contribution
It introduces various methods of applying image processing technology specifically for evaluating and controlling the quality of non-woven fabrics.
Findings
Image processing improves accuracy of fabric parameter measurement
Enhanced quality control processes using computational technology
Supports industry efforts in producing higher quality non-woven textiles
Abstract
One of the big challenges of the industry today is how to produce quality products, one of which is in the non-woven 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 has now been 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 non-woven materials. This paper will explain various methods of applying image processing technology in the field of evaluation and quality control of textile production. Keywords: textile fiber, image processing, textile evaluation.
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Taxonomy
TopicsTextile materials and evaluations · Industrial Vision Systems and Defect Detection
