摘要
针对高压输电线路绝缘子状态检测中光照不均匀、对比度不强的红外绝缘子图像分割,提出了一种基于类内绝对差准则的改进型PCNN图像分割算法。对最小类内绝对差法进行改进,引入背景与目标的面积差因子,确定最佳分割阈值后通过PCNN算法迭代优化进行图像分割。与经典OTSU算法、基于最小类内绝对差准则的PCNN算法进行比较。实验结果表明,本文方法能够取得更好的分割效果,并且具有较强的实用性。
In high voltage transmission line insulator state detection, for light heterogeneous, contrast is not strong infrared insulator image segmentation, a new method of improved PCNN image segmentation based on the interclass absolute difference is proposed. The minimum interclass absolute difference method was improved, the area difference factor between background and target is introduced, then image segmentation is carried out through PCNN algorithm iterative optimization method after the best threshold is determined. And compared with classical OTSU algorithms, PCNN method based on the minimum interclass absolute difference. The experimental results show that this method is more efficient and has strong applicability.
出处
《电瓷避雷器》
CAS
北大核心
2013年第3期24-29,共6页
Insulators and Surge Arresters
关键词
绝缘子
类内绝对差
PCNN
图像分割
insulator
the interclass absolute difference
PCNN
Image Segmentation
