Graph-Cuts-in-Vision-and-Graphics

包括一片英文文献及其所对应的代码实现，主要功能是实现对运动模糊图像的复原。(Including an English literature and its corresponding code, the main function is to achieve restoration of motion blurred images.)

说明：  在图像恢复技术中，总变分最小化是一种以保存图像细节为目标的规整化复原方法。本算法基于总变分最小化的思想，采取交替最小化的精确迭代策略来对图像和点扩展函数同时进行恢复。实验表明，该算法在噪声水平较高的情况下仍能对图像进行稳健的恢复。(Total variation image restoration techniques is a goal to save the image detail regularization recovery method. Algorithm based on total variation minimization thinking, take the alternating minimization accurate iteration strategy to simultaneously restore the image and point spread function. The experiments show that the algorithm in the case of high noise levels can still robust recovery image.)

说明：  图像处理案例，本程序是用matlab基于形态学的权重完成自适应图像去噪功能(Image processing case, this program is based on the weight of MATLAB morphology to complete adaptive image denoising function.)

基于halcon图像处理平台的相机标定算法，相当不错。。。。。(Halcon based image processing system camera calibration algorithm is quite good. . . )

说明：  采用通道差的引导滤波进行大气光估计和明暗通道混合的夜间去雾(The guiding filter of channel difference is used for atmospheric light estimation and night defogging with mixed light and dark channels)

对二维码图像进行灰度化、中值滤波、二值化、边缘检测、霍夫变换等预处理(The two-dimensional code image is grayscale, median filter, two valued, edge detection, Hough transform and other pre-processing.)

An efficient way of segmentation, grabcut matlab code. Segment by interaction with human can easy segment object, especially with rectangle

数字图像相关方法（DIC），其中DIC_FITC_sp是主程序，StepSearch是三步搜索法，CalculateC是计算相关系数的函数，SubpixelEstimation是曲面拟合法计算亚像素位移的函数( U6570 u5B57 u56E u502F3 u6L0 u6L0 u6L0 u6E0B u5R9 u6B0 U662F u8B1 u7B97 u7R0 u5133 u7F2 u7F2 u7F2 u7F2 u7F0 u7FB u7F0 U51FD u6570)

利用图像处理的方法实现图像二值化，实现了图像的调幅加网，加网角度是18.4度。这就方便了图像的调幅加网输出。(The use of image processing method of image binarization realize, realize the image of AM screening, screening angle is 18.4 degrees. This facilitates the image output of AM screening.)

kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca(kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca)