| 基于曲率约束和改进Hausdorff距离 匹配的轮毂识别算法 |
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| 引用本文： | 李位星,范瑞霞,龙放.基于曲率约束和改进Hausdorff距离 匹配的轮毂识别算法[J].北京理工大学学报,2010(S1):124-127. |
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| 作者姓名： | 李位星 范瑞霞 龙放 |
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| 作者单位： | 北京理工大学 自动化学院, 北京 100081;北京市自动控制系统重点实验室, 北京 100081;北京理工大学 自动化学院, 北京 100081;北京市自动控制系统重点实验室, 北京 100081;北京理工大学 自动化学院, 北京 100081;北京市自动控制系统重点实验室, 北京 100081 |
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| 基金项目： | 国家自然科学基金资助项目(60903005);北京市教委共建基金资助项目(XK100070532) |
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| 摘 要： | 针对在轮毂的自动化生产过程中对轮毂型号自动识别的需求,提出一种基于曲率的轮毂辐孔轮廓线角点特征提取和改进Hausdorff距离(MHD)轮毂型号自动匹配的方法. 对待识别的轮毂型号样本进行特征提取并建立标准样本库,在对实时采集的轮毂图像预处理后,利用曲率约束的最小二乘法(CRLSM)进行轮毂外轮廓提取,并用曲率阈值进行角点特征提取,进而采用改进的Hausdorff距离匹配实现轮毂自动识别. 仿真实验证明,该识别算法能够对建立样本库的轮毂类型进行正确识别.
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| 关 键 词： | 轮毂识别 曲率约束 Hausdorff距离 最小二乘法 |
| 收稿时间： | 2010/3/30 0:00:00 |
Wheel Indentify Algorithm Based on Curvature Restriction and Modified Hausdorff Distance Matching |
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| LI Wei-xing,FAN Rui-xia and LONG Fang.Wheel Indentify Algorithm Based on Curvature Restriction and Modified Hausdorff Distance Matching[J].Journal of Beijing Institute of Technology(Natural Science Edition),2010(S1):124-127. |
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| Authors: | LI Wei-xing FAN Rui-xia and LONG Fang |
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| Institution: | School of Automation, Beijing Institute of Technology, Beijing 100081, China;Beijing Key Laboratory of Automatic Control System, Beijing Institute of Technology, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China;Beijing Key Laboratory of Automatic Control System, Beijing Institute of Technology, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China;Beijing Key Laboratory of Automatic Control System, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | For the automatic recognition of wheel hub type during automated production process, the corner feature extraction based on wheel hub curvature and modified Hausdorff distance (MHD) automatic matching method is proposed. First, the wheel hub sample features are used, and is established the standard sample database, after pre-processing the real-time wheel hub, curvature constrained least squares method(CRLSM)is used to extract the wheel contour, and extract the corner feature by curvature thresholds, and the MHD matching method is used to realize the wheel automatic recognition. The simulation experiments show that the proposed algorithm can identify the wheel hub types correctly for the sample database. |
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| Keywords: | wheel indentify curvature restriction Hausdorff distance least squares method |
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