摘要
为了滤除在应用CCD对真空开关电弧图像诊断时带来的各种噪声影响,增强真空开关电弧图像的特征细节,提出了运用MATLAB对真空开关电弧图像处理的方法.运用中值滤波方法对电弧图像中椒盐噪声干扰处理;然后运用坎尼算子对电弧图像边缘进行了检测;最后对电弧图图像灰度变换增强处理.结果表明:通过MATLAB图像处理技术使真空开关电弧图像在主观视觉和客观标准评价上均取得良好效果,为其形态及内部等粒子体参数的诊断提供了有效的手段.
A vacuum switching arc image processing method applied MATLAB is proposed with the aim to filte- ring and removing noise influences when CCD applied to capture vacuum arc images and improve the charac- teristics of the vacuum arc. Firstly, vacuum arc images are median filtered to remove the influence of salt and pepper noises. Then they are edge detected with Canny algorithm before enhanced with gray enhancement. The results show that the subjective perceived quality and objective evaluation of the vacuum switching arc images are improved, and the processing method provides effective measurements for diagnosing the configure and inner plasmas parameters of the vacuum switching arc.
出处
《大连交通大学学报》
CAS
2010年第3期85-87,共3页
Journal of Dalian Jiaotong University
基金
国家自然科学基金资助项目(50537010)
