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Automatic Recognition of Woven Fabric Patterns Based on Pattern Database

机译:基于花样数据库的机织物花样自动识别

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摘要

In traditional method, the woven fabric pattern can not be easily recognized because of the error judgments of float type. To solve this problem, a novel method based on the pattern database was proposed to detect the woven fabric pattern in this study. FCM algorithm was used to classify the floats in the fabric image into two categories, warp floats and weft floats. The classification result then was then compared with the standard patterns in the pattern database, and the similar coefficients between them were calculated. The pattern which has the largest similar coefficient with the classification result was considered as the correct woven pattern, and its diagram and name were output in the system. The test for actual fabric images indicated that the method proposed can recognize the fabric patterns effectively, and the diagram and name of the fabric pattern can be recognized simultaneously. The experiments can also prove that the algorithm which is based on pattern database has good fault tolerant ability, and it can recognize the fabric patterns with a range of error judgments.
机译:在传统方法中,由于浮子型的错误判断,所以织物图案不容易被识别。为了解决这个问题,本研究提出了一种基于模式数据库的新方法来检测机织织物的模式。使用FCM算法将织物图像中的浮漂分为两类,经纱浮漂和纬纱浮漂。然后将分类结果与模式数据库中的标准模式进行比较,并计算它们之间的相似系数。与分类结果具有最大相似系数的花样被认为是正确的编织花样,并在系统中输出其图和名称。对实际织物图像的测试表明,所提出的方法可以有效地识别织物图案,并且可以同时识别织物图案的图和名称。实验还证明基于模式数据库的算法具有良好的容错能力,并且可以通过一系列的错误判断来识别织物模式。

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