直升机巡检航拍图像中绝缘子图像的提取算法  

A Method to Extract Insulator Image From Aerial Image of Helicopter Patrol

作　　者：黄宵宁[1] 张真良[1] 

机构地区：[1]南京工程学院电力学院,江苏省南京市211167

出　　处：《电网技术》2010年第1期194-197,共4页Power System Technology

基　　金：江苏省高校自然科学基金资助项目(09KJB470002)

摘　　要：提出了一种新的绝缘子图像提取算法,可用于直升机智能巡检图像中绝缘子图像的提取。该算法首先将航拍得到的高分辨率玻璃绝缘子彩色图像进行RGB到HSI彩色空间的转换;然后对HSI空间的S分量,采用基于遗传算法的最大熵阈值的方法进行图像分割;接着对分割后的图像用双结构级联滤波器滤除噪声;最后用连通区域方法将分割出的绝缘子串轮廓标识出来。算例结果表明:该算法能够从背景复杂的航拍图像中完整地提取绝缘子图像,有较高的工程应用价值。A new algorithm to extract insulator images from aerial image acquired by intelligent patrol of helicopter is proposed. Firstly, this algorithm converts the color image of glass insulators with high resolution, which is acquired by helicopter patrol, from RGB color space into HSI color space; then using the maximum entropy threshold method based on genetic algorithm, the continue image segmentation is applied to S component in HSI space; and then the noise in the segmented image is filtered by doubly structured cascaded filters; finally, by means of connected components labeling operation the contour of insulator string is marked out from aerial image with complicated background. Results of calculation example show that the proposed algorithm can extract integral insulator image from aerial image with complicated background, and it is practicable.

关 键 词：绝缘子图像提取 图像分割 遗传算法 形态学滤波 连通区域标记 

分 类 号：TM726[电气工程—电力系统及自动化]