3

说明：  该代码是图像处理中块匹配的全搜索算法，是用来估计和计算运动矢量的。(The image processing code is the full search block matching algorithm is used to estimate and calculate the motion vector.)

说明：  利用区域能量方法的matlab图像处理程序直接可用(Use of regional energy method matlab image processing program can be used directly)

各类图形处理算法代码，齐全的图形处理算法，可以直接运行。去噪，识别，检测，拼接等(Complete graphics processing algorithm, you can run directly. Denoising, identification, detection, stitching and so on)

可以实现小目标的检测 ，用matlab语音编写 。(Small targets can be detected, written in MATLAB.)

小波算法，在计算式，通过图像对其进行分析估计，可以直观的看到它对函数的时域和频域的改变(Wavelet algorithm, calculation, estimated by image analysis of them, you can visually see that it functions in time domain and frequency domain changes using the compression miu worth PSO )

非常好的纹理分割，区域分割的matlab源代码，可用(Very good texture segmentation, region segmentation matlab source code can be used)

使用Tensoflow实现图卷积神经网络模型(Use Tensoflow Implementation Figure convolution neural network model)

2、掌握Lee滤波与Refined-Lee滤波滤波效果ENL/ESI分析的原理及方法； 3、分析比较Lee滤波与Refined-Lee滤波的滤波性能； 4、分析滤波窗口与滤波效果的关系。 (2, master the principles and methods of filtering and Refined-Lee Lee filter filtering effect ENL/ESI analysis 3. Comparative analysis filtering performance Refined-Lee Lee filter and filter 4, analysis filtering window and filtering effect relationship.)

高斯曲线的拟合可对照学习使用程序比较全面适合电磁波类的人员参考学习(Gaussian curve fitting may be learning to use the control procedures for a more comprehensive type of electromagnetic wave reference study)

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)