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Edge Detection Method based on Lifting B-Spline Dyadic Wavelet

机译:基于升降B样条二元小波的边缘检测方法

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Aiming at the problem of discontinuous edge details in the wavelet transform modulus maxima edge detection algorithm, the shortcomings of the algorithm are addressed by improving the smoothness of the wavelet function and selecting appropriate wavelet filters. The order of vanishing moments of a wavelet function determines the ability of the wavelet to approximate smooth function. Therefore, this paper focuses on improving the order of vanishing moments of the B-spline dyadic wavelet, giving a new lifting scheme and lifting parameters, and realizing a B-spline dyadic wavelet filter with high-order vanishing moments, symmetry, and compact support. At the same time, an edge detection algorithm based on lifting the B-spline dyadic wavelet is proposed. The experimental results show that the algorithm can effectively suppress noise and display the continuous details of the image edges.
机译:针对小波变换模量最大值检测算法中不连续边缘细节的问题,通过提高小波函数的平滑度并选择适当的小波滤波器来解决算法的缺点。 小波函数的消失矩的顺序决定了小波近似函数的能力。 因此,本文侧重于改善B样条曲线二元小波的消失时刻的顺序,提供新的提升方案和提升参数,并实现具有高阶消失的矩,对称性和紧凑型支架的B样曲线二元小波滤波器 。 同时,提出了一种基于升降B样条曲线二元小波的边缘检测算法。 实验结果表明,该算法可以有效地抑制噪声并显示图像边缘的连续细节。

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