registration

matlab的关于图像处理的一些简单源代码，大家可以试一试，欢迎下载(Matlab on image processing some simple source code, you can try downloading welcome)

用于图像去噪处理Tikhonov模型，仅供用于学习参考(Tikhonov model for image denoising)

程序是基于DSP的数字图像处理技术，可以实现军事滤波，中值滤波和维纳滤波，实现效果较好(The program is a DSP-based digital image processing technology, the military filtering, median filtering and Wiener filtering, better )

斐波那契数的实现算法及分析,标准化实验报告样本()

说明：  压缩感知的经典代码，包括观测，稀疏表示，重建，其中观测用的高斯观测矩阵，稀疏用的DCT，重建用的OMP算法(Compressed sensing of the classic code, including observations, sparse representation, reconstruction, observed with a Gaussian observation matrix, sparse use of the DCT, re-use of the OMP algorithm)

通过将三维图像投影成2维ddr图像来实现2D-3D图像配准(By three-dimensional image projection into 2-D images ddr to achieve 2D-3D Image Registration)

目标运动的真实轨迹和估计轨迹，以及所进行的误差分析(Target motion trajectory and estimate the true trajectory, and error analysis conducted)

二维窗口函数，包含汉宁窗，布莱克曼窗，契比雪夫窗等(it creates a 2 dimentional window for a sample image)

SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。(SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane.)

红外与可见光实时融合算法 ------------------------------------ 若不能读取xvid视频，请安装XviD-1.1.3-28062007.exe。 ----------------------------------- 请双击*.bat文件看程序运行结果。 也可以在命令行下，输入“evs3 参数文件.xml 配准.xml”，以融合指定的多源视频图像。 ---------------------------------- 首先，离线地时空配准多源视频，并保存结果到xml文件。然后融合配准后的图像。融合过程是，通过分解图像为Laplacian金字塔，分别对图像的高频和低频按照规则合并，最后将Laplacian金字塔重新组合为图像。(Real time fusion algorithm for infrared and visible light------------------------------------If you cannot read XviD video, please install XviD-1.1.3-28062007.exe.-----------------------------------Double-click the*.bat file to see the program running results.Can also be in the command line, " evs3 input parameter file .Xml .Xml registration ", by the fusion of the specified source video image.----------------------------------First of all, offline space-time registration source video, and save the results to a XML file. After registration and fusion image. Through the decomposition of the image fusion process, Laplacian Pyramid, were on the high-frequency and low frequency image in accordance with the rules of the merger, Laplacian Pyramid reassembled for image.)