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进行kcm和fcm聚类分割图象的性能比较(kcm for clustering segmentation and image fcm Performance Comparison)

说明：  使用lbp算法来计算出一副图片的纹理程度，归一化处理(LBP calculates the texture level of the image)

mp算法实现的图像稀疏分解表示 ，已经调试通过，供参考学习(Image fusion based on wavelet transform has been debugged, for reference study)

粒子滤波跟踪，还算不错的一个demo，调试验证可以通过(Particle filter tracking, fairly good one demo, debug and verify through)

实现光流的代码，能够绘制光流的运动场。代码简单，无需配置，直接运行(It is Optical flow code.)

亚像素边缘检测的matlab代码，比一般的边缘检测代码精确(Sub-pixel edge detection matlab code)

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.)

一个基于Tikhonov正则化超分辨率重建，可以成功运行。(A Tikhonov based regularized super resolution reconstruction can be successfully operated.)

说明：  计算全息算法，使用matlab算法计算出图像的相位分布(Computational holographic algorithm)

说明：  图像的重心区域检测 matlab程序实现 可以检测重心区域并设置成希望颜色，对单景物背景图像效果极佳(regional focus image detection Matlab program can detect regional focus and set hope that the color of single features excellent background images)