visual-cryptography-

说明：  利用BP算法进行SAR成像，BP算法是一种对时域回波数据进行成像的算法(BP algorithm was used for SAR imaging)

单帧图像超分辨率重建。对于学习超分辨率重建很有帮助。(Super-resolution reconstruction of single frame image.It is helpful for learning super-resolution reconstruction.)

修改了冈萨雷斯《数字图像处理》中的区域生长法。本函数中含有三种选择种子点的方法：分别依据灰度值，种子点位置，交互式选择单个种子点。(Modified the region growing method described in "Digital Image Processing" . This function contains three options for the method of seed points: based on gray value, the location of the seed points, interactive selection of a single seed point. )

说明：  基于边缘特征的SAR图像与光学图像匹配，测度为Hausdorff距离(SAR images based on edge features and optical image matching, for the Hausdorff distance measure )

MATLAB编写的角点检测程序，用于对目标的检测和稳定的跟踪。很适合对于运动目标的精确跟踪。(Corner detection procedures written in MATLAB for target detection and tracking. Very suitable for the accurate tracking of moving targets.)

matlab编写的纹理图像分割 gussian滤波后k-means聚类 并将不同区域用线条表示出来 除m程序还包括测试图片、pdf文件、ppt文件、doc文档(matlab prepared texture image segmentation gussian filtered k-means clustering in different regions and lines that come out with the exception of m program also includes test pictures, pdf file, ppt file, doc file)

这是一个结合全局-局部图像对比度增强程序。首先使用全局对比度增强，然后使用局部对比度增强。程序中的参数是经过导师修改过的。文件中给出了原论文。对图像有一定的增强效果，仅供参考。(This is a combination of a global- local image contrast enhancement program. First, using a global contrast enhancement, and then use the local contrast enhancement. Program parameters are modified through mentor. Shows the original paper document. There is a certain image enhancement for reference purposes only.)

这是bregman迭代的小例子，看完之后对图像处理的优化帮助很大，你可以掌握其中的优化算法，很好，很实用(This is the iterative Bregman small example, after reading on the optimization of image processing helps a lot, you can grasp optimization algorithm, which is very good, very practical.)

检测前跟踪，使用phd方法，phd实现是检测前跟踪是最新技术，可以提高跟踪性能(Detected before tracking method using phd, phd implementation is detected before tracking is the latest technology that can improve the tracking performance)

说明：  获取图像灰度共生矩阵特征值代码，包括能量、熵、惯性矩和相关度的均值和标准差，已测试，代码及注释清晰。(The eigenvalue codes of gray level co-occurrence matrix, including the mean and standard deviation of energy, entropy, moment of inertia and correlation, have been tested and the codes and annotations are clear.)