小波边缘检测算法在平面丝阵Z箍缩图像1维诊断中的应用

Wavelet edge detection in one-dimensional imaging diagnostics for planar wire array Z-pinch

选择尺度融合的小波边缘检测算子对平面丝阵Z箍缩条纹相机图像进行处理,分析了影响边缘检测效果的参数。处理结果显示:如果边缘像素比例取合适值(4%～7%),若尺度取较大值时边缘定位不够精确,取较小值时受噪声影响较大;尺度融合的小波边缘检测算子则能精确判断图像边缘位置,同时受噪声影响较小;与直接判读方法相比,通过尺度融合的小波边缘检测算法判读的数据更稳定平滑,更能抵抗噪声的干扰。

The scale-fusion wavelet edge detection algorithm is brought forward in dealing with streak camera images of planar wire array Z-pinch on ＂Qiangguang-Ⅰ facility＂,and parameters of the algorithm that may influence the edge detection effect are analyzed.The proposed algorithm has the advantages of multi-scale edge detection methods with both small and big scale parameters,and the edges derived are smoother than those obtained from median values of grayscales,and are less sensitive to noise.