织物外观平整度客观评级图像采集装置设计与搭建

织物外观平整度人工评级方法存在诸多问题,快速准确的客观评级方法是市场需求,其中符合要求的图像采集装置是客观评级的必要条件。本文搭建了织物外观平整度图像采集装置,搭建后经测试,该装置光照均匀度88%、采集图像均匀度93.73%,采集到的织物图像折皱清晰,能够满足图像分析的要求。

基于屈诱多形态力学测试的织物外观平整度表征

针对现有基于图像或视觉原理的织物外观平整度的测试方法易受到织物复杂花型和纹理的影响,存在织物品类适应性差等不足,提出基于后屈曲诱导的织物多形态构建和力学性能原位检测原理的织物外观平整度表征手段。选取30块织物试样进行多重形变下的原位力学测试,分别提取力-位移测试曲线的5个特征指标,利用SPSS软件对提取的织物特征指标及其厚度和面密度与主观评价等级进行相关性分析,同时采用逐步回归法构建外观平整度的预测模型,并借助1组独立实验对预测模型进行检验。结果表明,用原位力学测试方法构建的预测模型的评价结果与主观评估结果具有较好的吻合度,说明基于原位力学测试方法实施织物外观平整度表征是可行并有效的。

织物外观平整度测定方法用棉织物的适用性评价

织物洗后外观平整度是评价经洗涤、烘干、熨烫后服装外观质量的重要指标,其客观测定方法是多年来的研究热点,然而在洗涤、烘干、熨烫条件下,适用于测定织物洗后外观平整度预期用途的织物尚未确定。文章选择半漂(无抗皱整理)和免烫抗皱两种纯棉织物,经不同的洗涤程序洗涤、晾干后,依据AATCC124织物洗后外观平整度评价方法主观评级,评价两种织物的灵敏度;再将半漂纯棉织物经不同的洗涤和烘干程序处理,依据AATCC124主观评级,判断其精密度。结果表明,半漂纯棉织物在95%置信水平时,各组均值差的显著性值小于0.05;同一测试程序下,10块织物洗后外观平整度相对标准偏差小于10%,表明半漂纯棉织物具有足够的灵敏度及精密度,可用于测定织物洗后外观平整度的预期用途。

Application of Rough Sets to Evaluate Fabric Smoothness Grade

For garment or fabric appearance, the cloth smoothness grade is one of the most important performance factors in textile and garment community. In this paper, on the base of Rough Set Theory,a new objective method for fabric smoothness grade evaluation was constructed. The objective smoothness grading model took the parameters of 120 AATCC replicas' point-sampled models as the conditional attributes and formed the smoothness grading decision table. Then, NS discretization method and genetic algorithm reduction method were used in the attributes discretization and feature reduction. Finally, the grading model was expressed as simple and intuitional classification rules. The simulation results show the validity of the fabric smoothness grading system which is built on the use of rough sets.