Classification-OfTheRemoteImage

说明：  基于区域纹理合成的图像修复，图像处理方法(Region-based texture synthesis inpainting, image processing)

Harris角点检测程序（内附示例图像），利用鼠标在图像上选择提取交点的区域，进行角点提取。程序语言简洁，利于初学者学习。(Harris corner detection procedures (with sample images), using the mouse in the image on the choice of extraction point of intersection of the region, for Corner Detection. Programming language is simple and conducive to learning for beginners.)

说明：  灰度直方图双峰法分割，传统的分割方法。适合初学者学习。(Bimodal histogram segmentation method)

利用小波实现图像的融合，从两幅模糊的原始图像中回复出原来的图像(Using wavelet analysis for a given image enhancement processing, after the decomposition of image, contour by the low frequency part representation, characterization details with high frequency part. )

改进的聚类光流法，聚类方法有kmeans和DBSCAN，光流法金字塔LK可以用，HS光流法占用内存太多。(Improved clustering optical flow method, clustering method kmeans and DBSCAN, pyramid LK optical flow method can be used, HS optical flow occupy too much memory.)

菲涅尔衍射程序，能够获得所需图像的菲涅尔衍射图样。(Fresnel diffraction procedure, the desired image can be obtained of the Fresnel diffraction pattern. )

基于LSB的隐写算法，以及基于猫脸变换的图像隐写改进算法。(The steganography algorithm based on LSB and the image steganography based on cat face transform.)

基于高斯混合模型markov树算法的图像分割。。。(Gaussian mixture model based markov tree algorithm for image segmentation. . .)

说明：  小波模极大源代码，可用来进行小波降噪或小波模态参数识别(Wavelet modal maximum source code, can be used for wavelet noise reduction or wavelet modal parameter identification)

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )