摘要
针对织物外观质量主观评价结果不够准确的现况,构建一种基于图像灰度分析的方法,可对织物外观质量进行标准化综合评价。通过构建灰度极差值、纹理均匀度、能量极差值、对比度极差值、粗糙度极差值5个灰度特征,描述织物外观质量状况的不同方面,给出一种基于数量级调整及可变权重的织物外观质量综合评价模型。将5种特征进行模糊综合计算,以准确客观地综合评价织物外观质量。实验及分析显示,该方法能合理对织物外观质量进行标准化综合评价,为织物外观质量的客观化、数字化评估提供了一种新思路。
Since the result of subjective evaluation of fabric appearance quality is not exact enough at present,this paper proposes an analysis method based on image gray,which can use precise digital data to describe and evaluate the appearance quality of fabrics.The appearance quality of fabric is described by constructing five gray features—gray range,texture evenness,energy range,contrast range and roughness range.An evaluation method based on magnitude adjustment and variable weight that can comprehensively calculate five features and form evaluating index is given.Experiments and analysis show that this method can reasonably describe and evaluate the appearance quality of fabrics and provides a new concept for objective and standardized evaluation of fabric appearance quality.
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2012年第11期61-65,共5页
Journal of Textile Research
基金
河南省科技攻关项目(2008B520043)
关键词
图像分析
多特征
织物
外观质量
综合评价
image analysis
multi-feature
fabric
appearance quality
comprehensive evaluation
