...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The Journal of the Textile Institute >An integrated method of feature extraction and objective evaluation of fabric pilling
【24h】

An integrated method of feature extraction and objective evaluation of fabric pilling

机译：织物起毛特征提取与客观评价的集成方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A pilled fabric image consists of sub-images of different frequency components, and the fabric texture and the pilling information are in different frequency bands. Interference from fabric background texture affects the accuracy of computer-aided pilling ratings. A new approach for pilling evaluation based on the multi-scale two-dimensional dual-tree complex wavelet transform (CWT) is presented in this paper to extract the pilling information from pilled fabric images. The CWT method can effectively decompose the pilled fabric image with six orientations at different scales and reconstruct fabric background texture and pilling sub-images. This study used an energy analysis method to search for an optimum image decomposition scale and dynamically discriminate pilling image from noise, fabric texture, fabric surface unevenness, and illuminative variation in the pilled fabric image. For pilling objective rating, six parameters were extracted from the pilling image to describe pill properties. A Levenberg-Marquardt back-propagation neural rule was used as a classifier to classify the pilling grade. The proposed method was evaluated using knitted, woven, and nonwoven pilled fabric images photographed with a digital camera.
机译：起毛织物图像由不同频率分量的子图像组成，并且织物纹理和起毛信息位于不同的频带中。织物背景纹理的干扰会影响计算机辅助起球等级的准确性。提出了一种基于多尺度二维双树复小波变换（CWT）的起球评价新方法，用于从起球织物图像中提取起球信息。 CWT方法可以有效地分解具有六个方向，不同比例的起绒织物图像，并重建织物背景纹理和起绒子图像。这项研究使用能量分析方法来搜索最佳图像分解尺度，并动态将起绒图像与噪声，织物纹理，织物表面不平整以及起绒织物图像中的照明变化进行区分。对于起球的客观评价，从起球图像中提取了六个参数来描述药丸的性能。 Levenberg-Marquardt反向传播神经规则用作分类器，对起球等级进行分类。使用数码相机拍摄的针织，机织和非织造起绒织物图像对提出的方法进行了评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号