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说明：  1.使用medfilt2函数对‘lena.bmp’进行不同模板大小的中值滤波，并观察效果 2.使用fspecial函数构造‘gaussian’, ‘sobel’, ‘prewitt’, ‘laplacian’, ‘average’等不同滤波算子，使用filter2函数对‘cameraman.tif ’进行滤波，观察不同滤波器的效果 3.设计频域理想低通和理想高通滤波器，对‘phantom.bmp’图像进行频域滤波，显示滤波结果。然后改变截止频率，观察对结果的影响。 4.对‘homo.bmp’进行同态滤波，其中频域同态滤波器自行设计。要求在程序注释中说明你设计该滤波器的思想。(1' lena.bmp 'The median filtering with different template sizes was carried out and the effect was observed2. Fsspecial function is used to construct different filter operators such as' Gaussian ',' Sobel ',' Prewitt ',' Laplacian ',' average ', etc' cameraman.tif 'Filter and observe the effect of different filters3. Design ideal low pass and ideal high pass filters in frequency domain' phantom.bmp 'The image is filtered in frequency domain and the filtering result is displayed. Then change the cut-off frequency and observe the effect on the results.4. Yes' homo.bmp 'The homomorphic filter is designed by ourselves. The idea of designing the filter should be explained in the program notes.)

包含代码：利用BP网络进行图像的主成分分析、BP网络的图像分类应用、数据预处理(Principal component analysis of images using BP network)

移动窗口算法平滑光谱矩阵，用于近红外等光谱数据的预处理(Moving window spectral matrix smoothing algorithm for near-infrared spectral data, such as the pretreatment)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)

线结构光三维重建之极值法提取激光条纹中心(Center extraction of laser stripe)

说明：  图像处理基于harris角点特征的图像配准程序(Image processing based on the characteristics of harris corner image registration procedures)

图像融合客观评价程序，包括扭曲度，相关系数，方差等(Objective evaluation of image fusion procedures, including distortions, the correlation coefficient, variance, etc.)

说明：  该书介绍的用VC实现图像处理，其中包括一些图像处理知识的介绍(The book described the realization of image processing using VC, including some knowledge of image processing introduction)

光伏最大功率点跟踪模型 希望对大家有用 谢谢(Photovoltaic Maximum Power Point Tracking model I hope useful thanks)

这是本人发表的目标跟踪方面论文使用的代码，是基于随机假设概率滤波的多目标跟踪算法。(This is the code used by the target tracking paper I published, filter multi-target tracking algorithm based on the probability of a random assumption.)