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The Online pattern recognition method of SF6 gas leakage based on image recognition

机译:基于图像识别的SF6气体泄漏在线模式识别方法

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Based on image processing of SF_6 gas leakage on-line pattern recognition method, this paper achieves gas leakage feature extracting, on-line identification of gas leakage and leakage points, SF_6 gas leakage can be on-line automatic identification. The simulation results show the feasibility of the algorithm. Compared with the traditional method, paper provides a more intuitive discrimination basis for field staff, as well as for the depth of the late testing data mining provides a research way of thinking.
机译:基于SF_6气体泄漏在线模式识别方法的图像处理,本文实现了气体泄漏特征提取,在线识别气体泄漏和泄漏点,SF_6气体泄漏可以在线自动识别。仿真结果显示了算法的可行性。与传统方法相比,纸张为现场工作人员提供了更直观的歧视基础,以及后期测试数据挖掘的深度提供了一种思维方式。

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