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中国物理学会期刊

Haar-Gaussian小波变换在边缘测量中的应用

CSTR: 32037.14.aps.52.3055

Application of Haar-Gaussian wavelet transform to edge-detection

CSTR: 32037.14.aps.52.3055
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  • 应用Harr-Gaussian小波变换对图形图像的边缘进行频域分析,建立边缘测量的物理模型, 并用带宽匹配方法和远心测量光学系统,在大景深物体测量中获得准确的结果.

     

    The Haar-Gaussian wavelet transform is applied to analyze the pattern edges in the frequency domain and to establish a physical model for the edge detection. The bandwidth-matching algorithm is proposed. A telecentric optics is used to achieve a high-precision edge detection results with large-depth of focus.

     

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