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基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。(region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fuzzy C-means clustering algorithm region segmentation of regional integration based ssim value, and finally fused image inverse wavelet transform)

将肿瘤图像中的肿瘤轮廓提取，将轮廓的矩阵输入到函数中，得到肿瘤的分维结果。(The tumor contour is extracted from the tumor image, and the matrix of the contour is input into the function to obtain the fractal dimension of the tumor.)

短时傅里叶变换,主要用于故障诊断和信号处理，很好用(Short-time Fourier transform)

图像信号的压缩感知重构算法，包含有bp,omp算法的比较程序。(Image signal compression perception reconstruction algorithm, containing the bp, omp of algorithms of comparison procedures.)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)

基于图论法的图像分割，是基于Matlab平台分割(segmentation by graphcut)

使用K近邻算法对一个2维德样本集进行分类，样本集的分布为混合高斯分布。(K nearest neighbor to use a 2 Verde sample set for classification, the distribution of sample set for mixed Gaussian distribution.)

基于小波分解重构的图像去噪程序 请多指教(Based on wavelet decomposition and reconstruction of image denoising program please enlighten)

提取特征点并匹配，有基于相关系数和最小二乘两种方法。(Extracting feature points and matching)

说明：  也是水平集方法的一个matlab源代码 比较经典的写的很详细 还可以做3d处理的(level is a collection of source code comparison Matlab classic written in great detail can be done to deal with the 3d)