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ITK的脑室图像分割,可以对脑部的图像用itk进行分割，用VTK来进行显示。(the segration of brain of ITK )

基于提升算法的53小波matlab算法，简单，易于初学者学习图像处理。(On the basis of promoting the algorithm and wavelet matlab algorithm, simple, easy to beginners learning image processing.)

C# 拖拽截图（拖拽拉伸图片选框）

说明：  对多帧图像进行超分辨率处理，得到一副高分辨率的单帧度图像。(Multi-frame image super-resolution processing, get a degree of high-resolution single-frame image.)

一个很实用的GVF SNAKE程序，对于新手来说，可以通过代码的学习，掌握GVF SNAKE的意义和处理步骤(A very practical GVF SNAKE procedures, for the novice, it can be through the code learning, GVF SNAKE grasp the meaning and processing steps)

在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)

此程为目标检测算法程序，采用经典的光流算法，最后可以的到一个运动光流图。(This process procedures for the target detection algorithm, using the classical optical flow algorithm, and finally to a movement to the optical flow diagram.)

opencv安装指导文件，针对vs2010版本和opencv2.2版本(opencv installation guidance document for vs2010 version, and opencv2.2 version)

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.)

包含了21篇二维最大类间方差（Otsu）阈值分割方法的论文，(Contains 21 article 2 d between the most kinds of variance (Otsu) threshold segmentation method papers)