HOG

一般自然图像的梯度分布符合重尾分布，重尾分布也就是超拉普拉斯分布，根据这个特点进行图像复原。(The gradient of a natural image in line with heavy-tailed distribution, which is ultra-heavy-tailed distribution Laplace distribution, image restoration based on this feature.)

原创基于c++语言编程实现了MC算法在三维图像处理中的应用，以及有许多二维图像到三维图像表面的重建过程算法。通过VC2008，编译已通过。(I have realized MC algorithm about the application of processing 3-D image based on C++ language also realised the technology on image surface reconstruction from 2-D to 3-D image.They are all compiled successfully using VS2008)

基于DQ效应的JPEG图像真伪检测算法，通过检测图像DCT直方图的DQ效应计算图像的概率图，该算法快速、准确，能自动定位篡改区域(JPEG image detection algorithm based on the authenticity of DQ effect, calculated image by DQ effect detection probability map image DCT histogram, the algorithm is fast, accurate, and can automatically locate tampered area)

matlab图像边缘边缘检测：包括小波多尺度边缘检测主程序、求纵向细节v和横行细节h的合成及模极大值、对矩阵取自适应阈值等(Matlab Edge Edge Detection : including wavelet multiscale edge detection main program. seeking details of the vertical and horizontal v h details of the synthesis and modulus maxima, the right matrix for adaptive threshold value)

可以实现小目标的检测 ，用matlab语音编写 。(Small targets can be detected, written in MATLAB.)

广度优先搜索和深度优先搜索在网络拓扑图上的实现。广度优先搜索是从某一节点开始，搜索与其线连接的所有节点，按照广度方向像外扩展，直到不重复遍历所有节点；深度优先搜索是从某一节点开始，沿着其搜索到的第一个节点不断深入下去，当无法再深入的时候，回溯节点，然后再在回溯中的某一节点开始沿另一个方向深度搜索，直到不重复的遍历所有节点。 (Breadth-first search and depth-first search in the network topology is realized. Breadth-first search is started from a node, searching all the nodes connected to its line, in accordance with the breadth direction as extracapsular extension, until no repeat traverse all nodes depth-first search is started from a node along its search to the first nodes deepening it, when it can not go any further, backtracking node, and then back again in the beginning of a node depth search in the other direction until the non-repetition of the traverse all nodes.)

在空间域上进行特征提取，用于局部或全局的特征检测，结合广义高斯分布，实现图像的质量评价(Feature extraction is carried out on the spatial domain, which is used for local or global feature detection, and the image quality evaluation is realized by combining the generalized gaussian distribution.)

小波包对信号的分解与重构在matlab中的应用，以及能量，频率(Wavelet packet decomposition and reconstruction of the signal in the application of matlab, and energy, frequency)

一种二值图像连通区域标记方法，能用于目标跟踪，我已经应用过，效果不错。(It is a new connected componet labeling algorithm for binary image,and can be used in object tracking. It is effective to be proved.)

完成图片的哈哈镜效果，如三角形，圆形，波浪形，弯曲等等(change the picture to any shape you want)