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Research of Riveting Structure Identification and Characteristic Parameter Analysis Based on SVM

机译:基于SVM的铆接结构识别和特征参数分析研究

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摘要

In order to help department to make a decision whether the equipment need maintenance, some people trained the sample of characteristic parameter for riveting structure, and set up the model to recognize target by computer vision. However, we are difficult to find the research result about the affiliation between the characteristic parameter of the riveting structure and the model. In this paper, we make the image processing first, and use SVM (Support Vector Machines) algorithm to train the sample of characteristic parameter for rivet head. Finally, we research the affiliation between the characteristic parameter for the rivet head and the mathematical model, and test the accuracy of the model.
机译:为了帮助部门做出决定设备是否需要维护,有些人培训了铆接结构的特征参数样本,并建立模型以通过计算机视觉识别目标。然而,我们很难找到关于铆接结构的特征参数与模型之间的隶属度的研究结果。在本文中,我们首先进行图像处理,并使用SVM(支持向量机)算法训练铆钉头的特性参数样本。最后,我们研究了铆钉头和数学模型的特征参数之间的隶属度,并测试了模型的准确性。

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