| 基于红外图像的绝缘子高温区域特征研究 |
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| 引用本文： | 宫政,西日艾力.吾斯曼,罗俊,尹迪晖,闫书佳.基于红外图像的绝缘子高温区域特征研究[J].教育教学论坛,2019(1):104-105. |
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| 作者姓名： | 宫政 西日艾力.吾斯曼 罗俊 尹迪晖 闫书佳 |
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| 作者单位： | 1.上海工程技术大学电子电气工程学院 |
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| 基金项目： | 上海工程技术大学"大学生创新训练项目";CX1702011 |
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| 摘 要： | 绝缘子故障会引起表面温度的上升,造成局部区域高温。因此,准确识别绝缘子的高温区域是故障检测的有效途径。本文提出了基于灰度共生矩阵的绝缘子高温特征提取方法。红外图像经过图像分割后,提取纹理特征,选取能量、熵、惯性矩和相关性作为特征值。试验结果验证该方法准确性高,可为绝缘子高温区域的识别提供参考。
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| 关 键 词： | 红外图像 绝缘子 高温 灰度共生矩阵 |
Research of the High Temperature Features of Insulators Based on Infrared Images |
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| GONG Zheng,XIRIAILI WUSIMAN,LUO Jun,YIN Di-hui,YAN Shu-jia.Research of the High Temperature Features of Insulators Based on Infrared Images[J].jiaoyu jiaoxue luntan,2019(1):104-105. |
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| Authors: | GONG Zheng XIRIAILI WUSIMAN LUO Jun YIN Di-hui YAN Shu-jia |
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| Institution: | (School of Electrical and Electronic Engineering,Shanghai University of Engineering Science,Shanghai 201620,China) |
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| Abstract: | Insulator failure can cause surface temperature rise,resulting in local high temperature.Therefore,accurately identifying the high temperature area of the insulator is an effective way to detect faults.This paper presents a method for identifying high temperature regions of insulators based on gray-level co-occurrence matrix.After image segmentation,the infrared image extracts the texture feature,selects energy,entropy,moment of inertia and correlation as the eigenvalue,and the training is optimized to identify the model.The experimental results verify the high accuracy of this method and provide references for the identification of high temperature insulators. |
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| Keywords: | Infrared image Insulator high temperature Gray-level co-occurrence matrix |
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