imageinpainting2

迭代法阈值分割，迭代法自动计算最优阈值。已经写成函数形式，输入灰度图，输出分割好后的阈值图。(Threshold segmentation iterative method, iterative method for automatically calculating the optimal threshold. Function has been written in the form of input grayscale output partition threshold after a good map.)

进行纯净信号和加噪信号的时频域显示，及其包络图显示，并计算加噪信号的信噪比、互相关系数、峭度值，对信号进行离散余弦变换。(The time-frequency domain display of pure signal and noise-added signal and its envelope diagram display are carried out, and the signal-to-noise ratio, correlation coefficient and kurtosis value of noise-added signal are calculated.Making Discrete CoSine transform for signal)

关于分水岭图像分割的源码，需要的可以下来用(watershed image segmentation on the source need to be down with the)

图像的自动拼接和缝补，采用sift算法作为匹配，是学习全景图像拼接的基础，大家可以下载下来看看(Automatic image stitching and sewing, using sift algorithm as a match, is the basis for learning panoramic image mosaic, you can download to see)

将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is ​ ​ a Singular value decomposition singular value as the singular values ​ ​ of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)

说明：  遥感信息工程学院遥感原理与应用课程实习监督分类(Supervised of Remote Sensing Principle and Application Course Practice)

indexation suit tuto of indexation for images

读取与显示JPG等格式图像文件，Visual C++编程技巧精选，很好的参考资料。(Read and display JPG format image files, Visual C++ programming skills selected, a good reference.)

基于OpenCV实现的图像剪切，截取小软件，对学习OpenCV的朋友比较有帮助(OpenCV based on the realization of the image shear, the interception of a small software, to learning more OpenCV friends help)

graph cut 源码实现,yuri Boykov大牛的经典之作(graph cut algorithm matlab implementation)