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说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

利用马尔科夫随机场对图像进行语义分割，通过ICm求解参数，可以运行，对初学者有较好的借鉴作用(Using Markov random field to semantic segmentation of images, through ICm solution parameters, can run, for beginners have a good reference)

对于iOS图像旋转，精选ios学习编程源码，很好的参考资料。(For iOS image rotation, selection of learning IOS programming source code, a good reference.)

双目立体视觉，采用两张图像恢复三维形状，外国人的一个开源项目。(System Prototype to make 3D reconstruction solution using stereo images. It works with common cameras and not require large amount of memory during the images processing. It provides a low cost solution to educational environments with low budgets. )

基于Matlab的函数优化遗传算法程序,包含了遗传算法实现的大部分步骤(Based on Matlab function optimization of genetic algorithm, contains most of the genetic algorithm implementation steps)

实现图像边缘的傅里叶描述子，可用于边缘检测，形状分析。(Matlab achieve image edge of the Fourier descriptors, can be used for edge detection, shape analysis.)

对图像进行大津法阈值分割，以及图像的分块。(Image Otsu threshold segmentation, as well as block images.)

通信专业滤波算法中通过改变不同的观测角计算接受信号的信噪比。(Communications professional filtering algorithm by changing the different observation angle calculation to accept the signal-to-noise ratio.)

图片黑白化，使彩色图片实现黑白化功能，还能还原色彩(Black and white pictures )

用matlab开发的计算给定曲面点云的，高斯和平均曲率图(Matlab calculation developed by a given surface point cloud, the Gaussian and mean curvature map)