| 火车轮对荧光磁粉探伤图像的裂纹识别技术研究 |
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| 引用本文： | 康健,杜向党,白龙. 火车轮对荧光磁粉探伤图像的裂纹识别技术研究[J]. 机械与电子, 2013, 0(12): 44-46 |
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| 作者姓名： | 康健 杜向党 白龙 |
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| 作者单位： | 西北工业大学航海学院 |
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| 基金项目： | 长安大学公路养护装备国家工程实验室开放基金项目(2013G1502048) |
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| 摘 要： | 面向火车轮对磁粉探伤图像的典型裂纹图像。基于试验分析比较,提出了一套以Wiener滤波、迭代法全局阂值分割算法和采用不变矩特征描述方法为核心算法,火车轮对荧光磁粉探伤图像的裂纹识别流程,实现了典型裂纹的有效识别。
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| 关 键 词： | 火车轮对 荧光磁粉探伤 图像识别 Wiener滤波 阈值分割 不变矩 |
Image Recognition Technology Research of Train Wheel Based on Phosphor Magnetic Powder Flaw Detection |
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| KANG Jian;DU Xiang-dang;BAI Long. Image Recognition Technology Research of Train Wheel Based on Phosphor Magnetic Powder Flaw Detection[J]. Machinery & Electronics, 2013, 0(12): 44-46 |
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| Authors: | KANG Jian DU Xiang-dang BAI Long |
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| Affiliation: | KANG Jian;DU Xiang-dang;BAI Long;School of Marine Engineering,Northwestern Polytechnical University; |
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| Abstract: | This paper puts forward a set of image recognition process which designs for the train wheel typical crack image of magnetic particle inspection images based on experiment analysis and comparison. The core algorithm of the process is Wiener filtering, iterative method global threshold segmentation algorithm and using the moment invariant feature description method. Thus, the process realized the effective identification of typical crack. |
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| Keywords: | train wheel fluorescent magnetic image recognition Wiener filtering threshold segmentatlon moment invarlantn |
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