| 基于模糊分类的炭制品X图像的缺陷识别研究 |
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| 引用本文： | 刘晓楠.基于模糊分类的炭制品X图像的缺陷识别研究[J].机械设计与制造,2011(9). |
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| 作者姓名： | 刘晓楠 |
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| 作者单位： | 华南理工大学机械与汽车工程学院,广州,510640 |
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| 基金项目： | 国家自然科学基金资助项目(B50875086); 广州市科技计划项目(2008J1-C101) |
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| 摘 要： | 在炭素制品的缺陷检测中,通过炭素制品的X射线图像对其缺陷进行分类是一个比较困难的问题,为解决这一问题,设计了模糊分类识别器。首先选择从缺陷特征中优化提取的参数作为分类器的输入,由于得到的优化参数空间尺度分布大,且数量级不一,通过建立数学模型,对参数在空间尺度进行处理,使参数分布更加集中,然后计算各样本间的相似度,进而确定分类的阈值,最后通过决策算法对炭素制品X射线图像中的缺陷进行分类,从而实现对炭素制品缺陷的分类识别。
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| 关 键 词： | X射线图像 缺陷识别 模糊分类 隶属度 |
The defect recognition research of carbon products X-ray images based fuzzy classification |
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| LIU Xiao-nan.The defect recognition research of carbon products X-ray images based fuzzy classification[J].Machinery Design & Manufacture,2011(9). |
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| Authors: | LIU Xiao-nan |
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| Affiliation: | LIU Xiao-nan (School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China) |
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| Abstract: | In defects detection of carbon products,the defects classification by the X-ray images of carbon products is a difficult problem,to solve this problem,a fuzzy classification and recognition device was designed.First,selected the parameters extracted from the defect feature as the classifier input,consid-ering the distribution of the optimization parameters are in a large spatial scale and its magnitudes are dif-ferent,a mathematical model of fuzzy classification was established for parameters processing in ... |
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| Keywords: | X-ray images Defect recognition Fuzzy classification Membership |
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