电缆终端红外图像过热区域提取方法
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TM85

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国网湖北省电力有限公司科技项目(SGHBWH00YJJS2001955)


Extraction method of overheating regions in infrared images of cable terminations
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    摘要:

    红外图像中异常发热区域的准确提取是实现电气设备热状态智能诊断的重要前提。针对电缆终端,本文提出一种红外图像过热区域提取方法。首先,利用基于最大后验概率估计的自适应小波阈值去噪方法滤除噪声,改善图像质量;然后,通过深度学习网络在图像中识别并定位出电缆终端,滤除干扰信息;最后,利用均值漂移算法实现像素点聚类,基于聚类结果提取出异常发热区域。以巡检拍摄的电缆终端红外图像作为测试样本,结果表明,该方法适用于不同拍摄背景以及不同拍摄角度的红外图像,在识别并定位出电缆终端后,能够准确提取其过热区域,且相较于现有的一些方法,所提方法的效率和准确率均更高。

    Abstract:

    The extraction of abnormal heating regions in infrared images is the important prerequisite for the intelligence diagnosis of thermal state in the electrical equipment. For cable terminations, an automatic extraction method is proposed in this paper. Firstly, an adaptive wavelet threshold denoising method based on Maximum a Posteriori Estimation (MAP) is applied to remove the noise and improve the quality of infrared images. Then, the cable terminations in the images are identified and located by the deep learning network, and the interference information is eliminated. Finally, the Mean-Shift algorithm is employed to cluster the pixels of cable terminations. The abnormal heating regions are extracted on the basis of clustering results. It is shown that the proposed method is suitable for infrared images at different backgrounds and different shooting angles. After identifying and locating the cable terminations, the overheating regions can be extracted accurately. Comparing with some existing methods in efficiency and accuracy, the proposed method achieves a better performance.

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夏湛然,杨斌,郭浩然,徐小冰,周文俊,周承科.电缆终端红外图像过热区域提取方法[J].电力科学与技术学报,2022,(2):12-21. XIA Zhanran, YANG Bin, GUO Haoran, XU Xiaobing, ZHOU Wenjun, ZHOU Chengke. Extraction method of overheating regions in infrared images of cable terminations[J]. Journal of Electric Power Science and Technology,2022,(2):12-21.

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  • 在线发布日期: 2022-05-26
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