文件名称:the1
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在用小波分解加强图像边缘的基础上，利用修正的形态学边缘检测算子，以减
轻图像边缘检测的模糊性；通过形态结：构元素尺度的调整，得到多尺度下图像边缘的
特征，并综合各尺度下的边缘特征，得到较为理想的图像边缘，实验验证了该算法的可
行性和有效性。-Using wavelet decomposition to strengthen the image edge based on the use of amendments to the morphological edge detection operator, so as to reduce the image edge detection ambiguity through the knot patterns: constitutive elements of the adjustment scale, the Multi-scale image edge features and various-scale edge features, to be more ideal image edge, experimental verification of the algorithm is feasible and effective.
轻图像边缘检测的模糊性；通过形态结：构元素尺度的调整，得到多尺度下图像边缘的
特征，并综合各尺度下的边缘特征，得到较为理想的图像边缘，实验验证了该算法的可
行性和有效性。-Using wavelet decomposition to strengthen the image edge based on the use of amendments to the morphological edge detection operator, so as to reduce the image edge detection ambiguity through the knot patterns: constitutive elements of the adjustment scale, the Multi-scale image edge features and various-scale edge features, to be more ideal image edge, experimental verification of the algorithm is feasible and effective.
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the image edge deteciion based on wavelets transform and morphology.pdf