789CODING-FOR-mri-SEGMENTATION

Image Filtering RGB Spatial Wiener Direct Inverse Discrete Fourier Transform DFT Lucy Richardson Median Laplacian (Image Filtering RGB Direct Spatial Wiener Inverse Discrete Fourier Transform DFT Lucy Ri chardson Median Laplacian)

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.)

质心点求取，目标进行形跟踪，跟跟踪物体。希望高手指点(Centroid strike, shaped track)

jpeg压缩代码 An example for jpeg compression and the restoration。(The attached utility is a work I ve submitted to the university. It shows what a jpeg compression is all about.)

本代码主要应用于图像压缩，代码包括采用二维离散余弦变换（DCT）进行图像压缩、采用小波变换进行图像压缩以及基于小波变换与混沌排序图像加密压缩、解密重构 hundungen 是ex3的子程序：产生混沌序列(This code is mainly used in image compression, including the use of code dimensional discrete cosine transform (DCT) for image compression, image compression using wavelet transform and wavelet transform compression and chaotic image encryption based sorting, decryption reconstruction)

Large Deviations for Gaussian Queues - Modelling Communication Networks - Michel Mandjes

说明：  基于gabor和chirp原子的匹配追踪算法论文简介！共同进步 又更多需要可以加610521482！(Comparing gaussian and chirplet dictionary.Matching pursuit method!)

基于四阶偏微分方程的图像去噪算法，能够有效去除阶梯效应，自己编的程序(image denoising using fourth-order PDEs)

这是一个视频图像处理的程序，通过混合高斯分布来建立背景模型，并且提取了运动目标，效果不错！(mixture of gaussians)

计算四个方向的灰度共生矩阵，将其作为纹理特征，是一种纹理特征提取算法。(Calculation of the four directions of Gray Level Co-occurrence matrix as texture features, is a kind of texture feature extraction algorithm.)