3Otsu

ostu二值化算法vc实现，基于MIL图像处理软件包将图像解析，通过ostu求取二值化阈值，实现二值化算法(ostu binarization algorithm to achieve vc, MIL image processing software package based on the image resolution, strike through ostu binarization threshold binarization algorithm to achieve)

BenchmarkDataset,做图像处理的标准图像库(BenchmarkDataset, do image processing standard image library)

itti算法进行感兴趣区域的选择，方法较好，可以直接运行。(itti algorithm select the region of interest ,and this program can run directly)

图像处理中用于边缘检测图像的边缘连接和边缘拟合的代码(link edge)

实现混合高斯的功能，再次基础上可进行任意操作(The function of mixed Gaussian can be realized, and any operation can be carried out on the basis of it again.)

目标跟踪matlab源代码，通过当前帧预测区域的信息同背景图像的信息的内容相差，可以很好的实现运动目标的跟踪。(Target tracking matlab source code, through the regional information predict the current frame image with the background information on the contents of the difference, you can achieve a good tracking of moving objects.)

利用k—mean算法根据U、V进行聚类分块，最后完成图像分割，分割出得块用不同的灰度等级表示出来。(K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.)

说明：  通过用户给定的标签信息，来提取图像中的标记像素点位置，保存为种子点(Through the label information given by the user, the position of the label pixels in the image is extracted and saved as seed points.)

说明：  使用matlab工具箱进行的图像配准，需提取特征点来实现配准(Using matlab toolbox for image registration, extraction of feature points needed to achieve alignment)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为OMP算法，对256*256的lena图处理，比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and OMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using OMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)