Review of Computer Vision Applications in Fabric Recognition and Color Analysis

TP391%TS106.5; Detecting various parameters of woven fabrics is one of the important methods to evaluate the quality of fabrics. In the early stage of industrial development, fabrics were mainly relied on manual to determine the quality, which was inefficient and unstable, so intelligent inspection...

Full description

Saved in:
Bibliographic Details
Published in东华大学学报（英文版） Vol. 39; no. 6; pp. 581 - 589
Main Authors FAN Mingzhu, XIN Binjie, ZHU Runhu, DENG Na
Format Journal Article
LanguageEnglish
Published School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201600,China%School of Textiles and Fashion,Shanghai University of Engineering Science,Shanghai 201600,China 31.12.2022
Subjects
density measurement
yarn location
deep learning
computer vision
color analysis
weave pattern
woven fabric
Online AccessGet full text

Cover

More Information
Summary:TP391%TS106.5; Detecting various parameters of woven fabrics is one of the important methods to evaluate the quality of fabrics. In the early stage of industrial development, fabrics were mainly relied on manual to determine the quality, which was inefficient and unstable, so intelligent inspection is a popular development trend today. In recent years, computer vision technology has been widely used in the fields of fabric density measurement, color analysis, and weave pattern recognition. Based on the above three aspects, the advanced research progress of global researchers is reviewed in this paper and the shortcomings of current research and possible research directions in the future are analyzed. Computer vision technology is not only objective evaluation, but also has the advantages of accuracy and efficiency, and has a good development prospect in the field of textiles.
ISSN:1672-5220
DOI:10.19884/j.1672-5220.202107013