摘要
缝纫质量直接影响服装的品质和价格,通过对缝纫平整度标准样照的图像灰度分布特征分析和傅里叶变换,提取了8个特征参数,在此基础上建立了一种基于BP网络的缝纫平整度客观评价模型.经过对实际缝纫样本的检验,该模型的实际输出与期望输出的相关系数达到0.93,模型具有良好的预测能力,可以用于实际缝纫样本缝纫平整度等级的预测.
The quality and prices of the clothing are di distribution feature of seam pucker standard sampl performed, eight characteristic parameters were based on BP network was established. Through of the actual output and the expected prediction ability and can be used for output of rectly affected by e was extracted the actua the mode S analyzed an d a seam puc sewing sample was 0.93. It sh ewing quality. The image gray d the Fourier transform was ker objective evaluation model test, the correlation coefficient ows that the model has a good forecasting seam pucker grade of the actual sewing samples.
出处
《上海工程技术大学学报》
CAS
2014年第1期87-91,共5页
Journal of Shanghai University of Engineering Science
关键词
缝纫平整度
客观评价
特征参数
BP网络
seam pucker grade
objective evaluation
characteristic parameter
BP network
