• Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.

    本文提出了基于离散二进小波变换尺度边缘检测和图像融合方法,实现了特征图像融合。

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  • The properties of the wavelet transform and the discrete dyadic wavelet transform are discussed and a fast wavelet algorithm for one-dimensional signals is described.

    论述了连续小变换离散小波变换性质方法介绍了离散二进小波变换的快速算法

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  • A reconstruction algorithm by cubic spline function interpolation, which is used to recover a signal from its dyadic wavelet transform extrema is proposed in this paper.

    本文提出了样条插值重构算法实现由信号二进小波变换极值点重构原始信号

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  • To overcome pulse noise influence to image quality, discrete dyadic wavelet transform (DDWT) is used to reduce the noise influence and improve signal to noise ratio (SNR).

    为了克服噪声超声检测成像质量影响利用离散二进制小波变换的分解重构算法降低脉冲噪声干扰提高超声图像的信噪比。

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  • In this section, the discrete transform ridge redundant wavelet transform, dyadic wavelet transform, curvelet transformation, curvelet transformation have been introduced.

    一部分分别介绍了冗余变换中的离散变换、二进小波变换曲波变换、快速曲波变换。

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  • In this paper, a new scheme of multiresolution recognition of unconstrained handwritten numerals based on dyadic wavelet transform and multilayer cluster neural network is presented.

    提出一种基于二进小波变换多层分组神经网络自由手写体数字多分辨率识别算法

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  • Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory.

    叙述了小函数连续小波变换离散小波变换、二进小波变换、二维小波变换、多分辨分析小波变换理论。

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  • A quadratic lubricity wavelet as wavelet function was defined to do the two dimensional dyadic wavelet transform on fruit infrared image, and to get local modulus maxima from the results.

    二次光滑作为小波函数水果红外图像进行进小波变换,计算了小波变换结果的局部极大值点,从而得到了水果红外图像的轮廓。

    youdao

  • A quadratic lubricity wavelet as wavelet function was defined to do the two dimensional dyadic wavelet transform on fruit infrared image, and to get local modulus maxima from the results.

    二次光滑作为小波函数水果红外图像进行进小波变换,计算了小波变换结果的局部极大值点,从而得到了水果红外图像的轮廓。

    youdao

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