人脸+虹膜识别+瞳距测量

聚束SAR极坐标格式算法，包括dechirp处理以及距离向插值和方位向插值(Spotlight SAR polar format algorithm, including dechirp processing and distance and azimuth to the interpolation Interpolation)

图像修复程序，专门用于去除图片中大的物体。去除后的图像裂缝通过基于用户手动得到的掩模进行填充。(This project involved removing large objects from images. From a user-specified mask, small patches were duplicated until all remaining gaps were filled. )

说明：  用matlab编写的图像复原源代码，采用维纳滤波复原技术，可对模糊和加噪的图像实现精确复原。(Prepared using matlab source code image restoration using Wiener filter restoration technology, can be vague and processors realize accurate image noise resilience.)

基于CDD模型的快速数字图像修复算法 matlab版 (CDD model based on fast digital image restoration algorithm matlab version)

Keystone Transform in ground moving target detection，it s very useful new comer(Keystone Transform in ground moving target detection)

计算两幅图像联合直方图的matlab小程序。可以用于图像分割及图像互信息的计算(calculated two joint histogram of the image of small Matlab procedures. Can be used for image segmentation and image mutual information calculation)

通过纹理方向估计消失点，通过消失点来检测道路区域。 该程序应用到了基于纹理的张量投票算法来估计消失点；通过纹理方向和颜色信息，生成用于估计两个最主要道路边界的直方图；最后将道路区域定义为两个检测到的道路边界之间且低于估计的消失点的区域(The vanishing point is estimated by the texture direction, and the road area is detected by the vanishing point. The program applies a texture-based tensor voting algorithm to estimate the vanishing point; through the texture direction and color information, generates a histogram for estimating the two most important road boundaries; finally defines the road area as two detected road boundaries. An area between and below the estimated vanishing point)

通过Markov随机场（MRF）实现图像的分割，例程给出了图像分割为3类的MRF算法(By Markov random field (MRF) for image segmentation, image segmentation routine gives the MRF algorithm for the three classes)

最新图像轮廓透明度计算算法。 发表在今年的计算机视觉会议(latest image contours transparency calculation algorithm. Published in this year's Computer Vision Conference)

matlab图像处理代码，利用算法对点云数据进行直方图以及标准差统计，含M文件和GUI(matlab image processing code, the use of algorithms for point cloud data, histograms and standard deviation statistics, including documentation and GUI M)