WarterShedTransform

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.)

该代码是基于学习的超分辨率重建，此算法是在线字典学习，字典的训练与稀疏表示与重建同时进行。(This code is based on the study of super-resolution reconstruction, this algorithm is learning online dictionaries, dictionaries of training and sparse representation and reconstruction simultaneously.)

运动目标的给总与识别，可以实时显示目标的运动轨迹，支持高速相机实时处理视频数据，并可以获得运动目标的轮廓矩等信息(Moving target to the total and the identification of moving targets in real-time display track, real-time processing to support high-speed video camera and moving target access to information such as contour moments)

按照C语言程序实现对128x128像素点、256灰度等级灰度图像的灰度直方图显示(In accordance with the C language program to 128x128 pixels, 256 gray scale histogram display grayscale images)

说明：  压缩感知 ：非传统采样的模型实例和众多应用(model based compressivetoolbox)

内含完整基于图像处理的缺陷检测源代码，可以直接运行(Including a complete defect detection based on image processing source code can be directly run)

彩色图像分割算法，首先基于直方图粗分，而后通过kmeans细分，得到分割结果(Color image segmentation algorithm, first, rough segmentation based on histogram and then broken down by kmeans get segmentation results)

国外著名的凸优化程序包，压缩感知理论，恢复算法(Foreign well-known convex optimization package, compressed sensing theory, and recovery algorithm)

用模糊集方法进行图像增强，先对源图像做模糊化，然后在模糊平面上进行变换，最后再反模糊化，从而达到模糊集图像增强的目的。(Image enhancement using fuzzy set method, the first source image blurring, and then transform the fuzzy plane, and finally anti-blurring, so as to achieve the purpose of the fuzzy set of image enhancement.)

实现两幅bmp图像相减得到最终图像并显示(Realize two BMP image subtraction, get the final image and display)