缝纫平整度客观评判模型的研究OA北大核心CSTPCD
Research on objective evaluating model of seam pucker
借助于图像处理技术,提取缝纫平整度照片的图像灰度标准差、图像熵、小波变换系数标准差、小波信息熵等特征参数,建立了缝纫平整度的客观评判的概率神经网络模型.经过训练和检验,得出该模型的预测值与期望值之间的相关系数在0.99以上,说明网络模型有效,且精度高,可以用于预测未知缝纫样本的缝纫平整度等级.
In this paper, the standard deviation of image grey, Image entropy, standard deviation of wavelet coefficient and wavelet entropy about the photograph of seam pucker are extracted based on the image process technology. Then probabilistic neural network (PNN) model of evaluation of seam pucker is established. After training and testing, the correlation coefficient between prediction value and the expected value is above 0.99, which indicates that the ne…查看全部>>
李艳梅;仇晓坤;蒋真真
上海工程技术大学,服装学院,上海,201620复旦大学,上海视觉艺术学院,上海,201620上海工程技术大学,服装学院,上海,201620
轻工纺织
缝纫平整度客观评判图像处理小波分析概率神经网络
Seam pucker Objective evaluation Image process Wavelet analysis Probabilistic neural network
《丝绸》 2011 (4)
28-31,4
上海市教委科技创新基金项目(10YZ170)
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