摘要
以16块含毛纯色机织试样为研究对象,将其制作成裤子进行实际着装起拱,在测量起拱高度的同时,对起拱程度还进行了专家5级评分法和排序法评价,采用对起拱图像进行小波分析的客观评价方法,提取小波细节系数标准差作为客观评价指标。研究显示:小波分解4层时垂直方向的细节系数标准差SV4无论与主观评价结果还是与起拱高度都有较好的相关性,因此可以通过计算图像的细节系数标准差来预测专家主观评价的结果以及起拱高度,具有客观、高效、准确的优点。
Bagging behavior has important influence on garment appearance,now,bagging height is commonly used for evaluation.In this paper,new evaluation method is tried.16 woven wool fabrics of solid color are selected to make into pants for actual wear to produce bagging,the bagging degree is subjective evaluated by the method of 5 grade and ranking.At the same time,the bagging height is measured and the bagging images are wavelet analyzed and detailed coefficient standard deviation at different levels are extracted as objective evaluation index.Results show that detailed coefficient standard deviation in the vertical direction at the 4th level,i.e.SV4,has good correlation with both the bagging height and the subjective evaluation results.Therefore,the detailed coefficient standard deviation of wavelet can be used to predict the experts subjective evaluation results and the bagging height,which is objective,efficient and accurate.
作者
余芳
YU Fang(Yuanpei College,Shaoxing University,Shaoxing,Zhejiang 312000,China)
出处
《毛纺科技》
CAS
北大核心
2018年第4期67-71,共5页
Wool Textile Journal
关键词
穿着起拱
小波分析
细节系数标准差
主观评价
客观评价
wearing bagging
wavelet analysis
detailed coefficient standard deviation
subjective evaluation
objective evaluation
