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Evaluating Fabric Pilling with Light-Projected Image Analysis

机译:通过光投射图像分析评估起球

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摘要

An innovative method and a device for objectively evaluating fabric pilling grade based on light projection using image analysis is presented in this paper. The method can eliminate interference with pilling information from fabric color and pattern. The device for acquiring light-projected images, detecting the profile of projected images, segmenting pills appearing on converted gray images, extracting of a pill's feature index, and so on are discussed in detail. Pilling grade is assessed by a Kohonen self-organizing feature map neural network. Thirty different kind of pilled fabric samples are trained and tested, and the correlation coefficient between the objective grade and subjective grade is 0.94 for the training samples and 1 for the testing samples. The sample number with +-1 grade deviation is 5, so the objective inspection accuracy is 83%.
机译:提出了一种基于光投射的图像分析客观评价织物起球等级的创新方法和装置。该方法可以消除对织物颜色和图案的起球信息的干扰。详细讨论了用于获取光投射图像,检测投射图像的轮廓,分割出现在转换后的灰度图像上的药丸,提取药丸的特征指标等的设备。起球等级通过Kohonen自组织特征图神经网络进行评估。对30种起绒织物样品进行了训练和测试,训练样品的客观等级与主观等级之间的相关系数为0.94,测试样品为1。等级偏差为+ -1的样本数量为5,因此客观检查精度为83%。

著录项

  • 来源
    《Textile Research Journal》 |2004年第11期|p.977-981|共5页
  • 作者

    X. CHEN; X. B. HUANG;

  • 作者单位

    College of Textiles, Dong Hua University, Shanghai 200051, People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 纺织工业、染整工业;
  • 关键词

  • 入库时间 2022-08-18 00:11:06

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