Implementation of Digital Image Processing and Computation Technology on Measurement and Testing of Various Yarn Parameters

TL;DR

This paper reviews how digital image processing and computational techniques are applied to measure and evaluate various yarn parameters, enhancing textile analysis and identification.

Contribution

It provides a comprehensive review of image processing methods used for yarn evaluation, highlighting recent developments and applications in textile parameter measurement.

Findings

Image analysis improves yarn parameter accuracy

Digital methods facilitate textile identification

Historical development of textile image processing

Abstract

Along with the development of science and technology, the application of various computational processes in the field of science engineering is something that is being developed, even today. Currently, many studies have applied image analysis technology to the field of textile evaluation and identification, one of which is yarn. Computer image analysis techniques can be used to identify textile products, especially textile products in the form of yarn. This chapter has reviewed various methods and application of image processing technology in the field of identification and evaluation of various thread parameters, together with a brief review of historical developments, as well as the need for the application of these methods. Keywords: yarn, digital image processing, evaluation and identification, textiles.