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说明：  MICC-F220.zip matlab ..............

基于不精确拉格郞日算子法的低秩矩阵重构程序，可以用于图像分割，将目标图像分割为背景和前景，从而将前景分离出来。(Lagrangian method based on imprecise low rank matrix reconstruction procedures can be used for image segmentation, the target image into background and foreground, which will separate the foreground.)

说明：  实现指纹识别中的指纹图像预处理中的方向场，细化等，含有一个GUI界面(pre-process of figure print image)

高光谱图像的读取程序，在matlab界面直接调用就可以(Hyperspectral image reading program in matlab interface can be called directly)

本程序实现选定图像的Haar-like特征提取功能，方便学习者能直观的看到各类Haar-like特征值。代码简单易于理解。(The program implements the selected image Haar-like feature extraction function to facilitate the learners can visually see all kinds of Haar-like feature values. Code is simple and easy to understand.)

说明：  bitMAP文件格式的图像的读取、与保存的算法，可以作为图像处理的系统的前道，非常实用。(bitMAP file format of the image read, and preservation of the algorithm, as image processing system of the former Road, very practical.)

实现了灰度共生矩阵，并应用到了几张图片上。 C++ 和OPENCV 代码。 图像处理(GLCM achieved and applied to a few pictures. C++ and OPENCV code. Image Processing)

模拟运动模糊 恢复模糊图像 对加性噪声图像的恢复等(Fuzzy simulation of the restoration of motion-blurred images of additive noise, such as image restoration)

说明：  分析了如何利用小波变换技术对图像进行信息融合使读者从整体上对医学图像融合技术有一个比较清楚直观的理解 (Analysis of how to use wavelet transform to the image information fusion, so that readers from the whole of the medical image fusion technology has a relatively clear and intuitive understanding.)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)