| 基于图像处理的微小孔光学特征识别技术研究 |
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| 引用本文： | 郭紫贵,凡进军.基于图像处理的微小孔光学特征识别技术研究[J].工具技术,2010,44(9):102-105. |
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| 作者姓名： | 郭紫贵 凡进军 |
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| 作者单位： | 张家界航空工业职业技术学院 |
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| 摘 要： | 对微小孔的成型结构特点和边缘光学特征进行了研究,提出了一种有效检测微小孔质量的方法。通过中值滤波、灰度阈值变化等图像处理技术,准确地提取了微小孔的边缘,并将最小二乘圆拟合算法、新圆度判定算法和锥度检测算法综合应用于微小孔的几何结构识别过程中。实验结果证明,本方法具有检测结果准确、检测精度高等特点,能够满足微小孔质量检测的要求。
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| 关 键 词： | 微小孔 中值滤波 边缘检测 最小二乘拟合 圆度判定 锥度检测 |
Research on Optical Feature Recognition Technique of Micro Hole with Digital Image Processing |
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| Guo Zigui,Fan Jinjun.Research on Optical Feature Recognition Technique of Micro Hole with Digital Image Processing[J].Tool Engineering(The Magazine for Cutting & Measuring Engineering),2010,44(9):102-105. |
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| Authors: | Guo Zigui Fan Jinjun |
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| Affiliation: | Guo Zigui,Associate Professor,Department of Mechanical Engineering,Zhangjiajie Aeronautical Engineering Vocational College,Zhangjiajie,Hunan 427000,China Fan Jinjun |
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| Abstract: | An effective approach of quality inspection for micro hole is proposed by studying on the geometric feature of micro hole edge.The edge of micro hole is detected exactly with the digital image processing techniques,such as,the middle value filter,the threshold value transformation,and so on.The least square circle fit arithmetic,a new roundness measurement arithmetic and the taper detection algorithm are synthetically used in the processing of geometric feature recognition of micro hole.The practical results prove that the method with exact conclusion and high precision can satisfy the quality inspection requirement of micro hole. |
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| Keywords: | micro hole middle value filter edge detection the least square fit roundness measurement taper detection |
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