摘要
机织物密度和组织结构参数是纺织品检测的两个重要数据,其检测指标决定机织物产品的质量.由于织物结构的复杂性,纺织检验领域中对机织物结构参数的检测仍然依赖于人工分析.随着计算机视觉技术的发展,其在机织物结构参数检测中的应用不断有新的研究进展.详细阐述近五年国内外机织物密度和组织结构两个重要结构参数自动检测的研究现状和研究不足,认为建立在客观评价基础上的计算机视觉技术在机织物结构参数检测领域具有良好的发展前景.
The two structural parameters of woven fabric density and weave pattern are important data in textile testing,and their testing indicators determine the quality of woven fabric products.Due to the complexity of fabric structure,the testing of woven fabric structure parameters nowadays still depends on manual analysis.With the development of computer vision technology,its application in the testing of structural parameters of woven fabrics has been made new research progress.The research status of automatic testing of two important structural parameters of woven fabric density and weave pattern at home and abroad in recent five years was described in detail,and the shortcomings of the research were summarized.Finally,it is concluded that the computer vision technology based on objective evaluation has a great development prospect in the field of woven fabric structure parameter testing.
作者
袁秀文
罗健
辛斌杰
许颖琦
YUAN Xiuwen;LUO Jian;XIN Binjie;XU Yingqi(School of Textiles and Fashion,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《上海工程技术大学学报》
CAS
2023年第1期7-11,共5页
Journal of Shanghai University of Engineering Science
基金
国家自然科学基金项目资助(61876106)。
关键词
机织物
织物密度
组织结构
纺织检测
计算机视觉
woven fabric
fabric density
weave pattern
textile testing
computer vision