红外技术, 2015, 37 (12): 1047, 网络出版: 2016-01-19   

基于红外图像的高压绝缘子串自动定位方法

High Voltage Insulator String Automatic Location Method Based on Infrared Image
作者单位
湖南大学电气与信息工程学院, 湖南 长沙 410082
摘要
绝缘子串自动定位是实现劣化绝缘子红外智能检测的重要前提。针对红外图像背景复杂的特点, 提出了基于灰度阀值分割和 Hough变换的自动定位方法。首先采用基于 Otsu阀值的灰度拉伸法对图像增强, 利用灰度图像的开运算对图像去噪, 然后采用灰度 Otsu阀值法对图像进行阀值分割, 图像二值化后, 用最大连通区域过滤法提取绝缘子串区域, 最后利用 Hough变换进行倾斜度校正, 完成绝缘子串的最终定位。试验结果表明: 提出的分割方法可以快速完整地将目标提取出来。提出的定位方法可以完成复杂背景下绝缘子串的自动精确定位, 为实现劣化绝缘子红外智能检测奠定基础。
Abstract
Insulator string automatic location is an important premise of realizing the intelligent testing of the deteriorated insulator by infrared technology. Aiming at the characteristics of infrared image complex back-ground, this paper proposes an insulator string automatic location method based on gray threshold segmenta-tion and Hough transform. Firstly, the infrared image of insulator string is enhanced by gray level stretching based on Otsu threshold; the gray image open-operation is carried out to denoise the whole image; then gray Otsu threshold method is adopted to segment the image; after the binarization of the image, maximum con-nected region filtration method is carried to retrieve the region of insulator string; at last, Hough transform is used to do the image gradient correction,achieving insulator string final automatic location. Experiment re-sults show that the proposed segmentation can retrieve the target fast and perfectly; the proposed location method can achieve insulator string location under complicated backgrounds automatically and accurately, and it lays a foundation for the intelligent testing of the deteriorated insulator by infrared technology.

胡淋波, 姚建刚, 孔维辉, 邹品晶, 付强, 潘雪晴. 基于红外图像的高压绝缘子串自动定位方法[J]. 红外技术, 2015, 37(12): 1047. HU Lin-bo, YAO Jian-gang, KONG Wei-hui, ZOU Pin-jing, FU Qiang, PAN Xue-qing. High Voltage Insulator String Automatic Location Method Based on Infrared Image[J]. Infrared Technology, 2015, 37(12): 1047.

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