Grading of Yarn Appearance Using Image Analysis and an Artificial Intelligence Technique
Grading of Yarn Appearance Using Image Analysis and an Artificial Intelligence Technique
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DOI：
10.1177/0040517506056868
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发表时间：
2006-03
影响因子：
2.3
通讯作者：
D. Semnani;M. Latifi;M. A. Tehran;B. Pourdeyhimi;A. Merati
中科院分区：
文献类型：
--
作者：
D. Semnani;M. Latifi;M. A. Tehran;B. Pourdeyhimi;A. Merati
本研究采用图像处理技术和人工智能技术，基于ASTM标准（D 2255节）的纱线图像进行纱线外观分级。在该方法中，纱线外观分级是基于计算机视觉和分析纱线的标准图案板图像。因此，这种方法非常类似于人类的视觉。考虑了ASTM分级的逻辑，提出了纱线外观等级分级的新定义。在这种分类方法中，分级程序不依赖于纱线结构和原料。因此，可以使用这种方法根据表面特征对任何类型的纱线进行分级。
In this research, a new method is used for grading of yarn appearance based on yarn images of ASTM standard (section D 2255), by using an image processing technique and an artificial intelligence technique. In this method, grading of yarn appearance is based on computer vision and analyzing the images of standard pictorial boards of yarn. Therefore this method is very similar to human vision. The logic of the classification by ASTM is considered and then a new definition for classification of yarn appearance grade is presented. In this method of classification, the grading procedure is not dependent on yarn structure and raw materials. Thus it is possible to use this method for grading of any type of yarn based on apparent features.