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
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摘要: 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。Abstract: 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.
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