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Fabric Defects Identification Based on On-line 3D Measurement

机译:基于在线3D测量的织物缺陷识别

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摘要

This paper using on-line identification of three dimensions to solve some difficult problems of two dimensional defects identification. Different defects have different 3D structural features, thus to identify and classify defects based on 3D testing data. Compared with fabric defects processed by two-dimensional image, 3D identification can more exclude cloth wrinkles and the flying thick silk floss. So the 3D identification is of high accuracy and reliability to identify fabric defects.
机译:本文采用三维在线识别技术,解决了二维缺陷识别中的一些难题。不同的缺陷具有不同的3D结构特征,因此可以基于3D测试数据对缺陷进行识别和分类。与通过二维图像处理的织物缺陷相比,3D识别可以更多地排除布料的皱纹和飞散的厚实丝线。因此,3D识别具有很高的准确性和可靠性,可以识别出织物缺陷。

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