摘要
提出了一种基于阈值分割与分步定位的绝缘子提取算法,可以从航拍巡线图像中分离出绝缘子部分.算例结果表明:该算法能够有效滤除复杂背景的干扰,得到准确的绝缘子图像.
In order to extract insulator image from aerial image with complex background, an algorithm based on threshold segmentation and secondary fractional steps positioning is presented. This algorithm is divided into two parts： rough positioning and precise positioning. Result of the calculation example shows that the proposed algorithm can extract insulator image from aerial image in complicated background.
出处
《上海电力学院学报》
CAS
2011年第5期515-518,共4页
Journal of Shanghai University of Electric Power
基金
上海市教委重点学科建设项目资助(J51301)
关键词
绝缘子图像提取
高斯滤波器
双阈值法
形态学滤波
insulator image extracting
Gaussian filter
double-threshold segmentation
morphological filter
