src

说明：  对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比(Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising operation to restore the image to a peak signal to noise ratio)

说明：  图像配准，控制点配准，边缘检测，。。。。。。。。。。。。。。。(image registration, edge detect, hough line detect,)

Contra Harmonic Mean and Alpha Trimmed Filter alpha剪枝滤波器(Contra Harmonic Mean and Alpha Trimmed Filter alpha pruning filter)

利用ADMM和小波进行图像恢复 使用ADMM算法的图像恢复模型，并用到了增广拉格朗日函数和快速傅里叶函数(Using ADMM and wavelet to restore image, using ADMM algorithm to restore image model, and using augmented Lagrange function and fast Fourier function.)

一种基于景深的去雾方法，将按通道中的最大值和最小值作为景深基准线，计算其垂直方向上的暗通道像素均值作为透射图，实现去雾，对航拍图效果显著(A dehaze method based on the depth of field, draw a depth datum line according to the maximum value and minimum value of the dark channel, calculate the pixel of the dark channel at the line perpendicular to the depth datum line.Then the transmission map has been gotten. This method performs good especially when processing the aerial map.)

说明：  基于一级小波变换的将2值图像嵌入宿主图像低频子带的水印嵌入及提取算法(based on a wavelet transform the image of two images embedded host low-frequency band and the embedded watermark extraction algorithm)

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)

matching algorithm based on SIFT algorithm, extract feature points in use of Harris corner detection algorithm

视频目标跟踪算法,用meanshift方法对目标进行跟踪(meanshift algorithm tracking)

VisualC++数字图像处理技术详解第2版光盘-第五章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter V)