应用一维傅里叶变换的剖幅区自动识别与定位

摘要/Abstract

摘要：

针对纺织行业布匹剖幅机工作过程中，剖幅区的识别定位仍由人工完成的现状，本文提出了一种可行的剖幅区自动识别定位方法，来降低工人劳动强度，提高布匹剖幅速率和准确率。该方法基于成像式自动检测技术，应用一维傅立叶变换提取剖幅区频域特征来对其进行识别与定位。并利用VC++编写定位软件对该方法进行测试，结果表明，应用一维傅立叶变换的成像式定位方法可以快速、准确的实现剖幅区自动识别与定位，提高剖幅机的工作效率和可靠性。

关键词: 剖幅机, 傅里叶变换, 图像识别, 特征提取, 剖幅

Abstract:

The current recognition of fabuec slitting zone is still completed manully during the working process of fabric slitting machine. This paper provides a high-speed and real-time method to recognize and position fabric slitting zone automatically, focus on the current situation where the recognition of fabric slitting zone is completed by human during the working process of fabric slitting machine. This method can reduce the labor intensity of workers and improve the effectiveness and accuracy of fabric slitting. One dimensional Fourier transform is used in this method to extracted features in frequency domain.Then we can positioning the center of the slitting zone based on image detection technique.In addition, using VC++ language, we design a software to test the method.The results of software testing indicate that the method we proposed can recognize the fabric slitting zone and positioning its center quickly and precisely, and improve the effectiveness and reliability of fabric slitting machine as well.

Key words: fabric slitting machine, Fourier transform, image recognition, feature extraction, fabric slitting

黎聪闫学娜曾祥忠梁猛张莹. 应用一维傅里叶变换的剖幅区自动识别与定位[J]. 纺织学报, 2016, 37(01): 147-151.

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