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
绝缘子串 红外图像 图像增强 阀值分割 Hough变换 自动定位 insulator string infrared image image enhancement threshold segmentation Hough transform automatic location
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.