Optical-flow-code

说明：  通过高斯、指数、瑞利、gamma、pearson、weibull模型分别对同质区域的SAR图像的强度分布进行拟合(The intensity distributions of SAR images in homogeneous regions are fitted by Gauss, exponential, Rayleigh, gamma, Pearson and Weibull models respectively.)

提取人脸表情库中的图像数据,可提取任一种表情、任一个人或任一复本(extract the image data of facial expression database:JAFFE database。it is able to extract any expression, subject and copy of JAFFE database)

这个程序是马尔可夫的图像分割程序 对于初学者学习马尔可夫分割图像有帮助(This program is a Markov image segmentation program for beginners to learn Markov image segmentation helpful)

一个功能强大的图形编辑器，其底层框架非常容易扩展，支持流程图、网络拓扑图、电力图、UML图等。有完整的画布管理、网格控制、滚动、图元缩放、从存储至加载显示，支持Ctrl A、Ctrl C、Ctlr V、Ctlr Z操作，可设置各图元附加属性，图元分组与合并、分层，弹出菜单控制等等。

说明：  利用MATLAB的图像用户界面GUI设计一个简单的菜单式图像处理系统。通过该程序实现对图像的简单处理、变换和去噪等功能，满足课程设计的要求。(A simple menu image processing system is designed by using the image user interface GUI of MATLAB. Through this program, the functions of image processing, transformation and denoising are realized, which meet the requirements of curriculum design.)

说明：  很好用的三维重建软件，VisualSFM软件允许上传一系列图像，它从这些图像中找到每一个图像的特定特征，利用这些特征信息重建出3D模型的稀疏点云，而后还可进行稠密点云重建。(The VisualSFM software, a good 3D reconstruction software, allows uploading a series of images. It finds the specific features of each image from these images, and USES these feature information to reconstruct the sparse point cloud of the 3D model, and then it can reconstruct the dense point cloud.)

这是图像拼接大神的在ICCVC上的PPT报告，思路清晰，受益匪浅，(PPT report in God s image stitching on ICCVC and clear thinking, benefit,)

该程序为傅立叶变换，用来将时域信号进行频域信号分析，保护功率谱、能量谱等。(The program for the Fourier transform, time-domain signal to the frequency domain signal analysis, to protect the power spectrum, the energy spectrum.)

《VC++数字图像识别技术典型案例》第九章光学字符识别技术，包括预处理、边缘跟踪和特征提取算法("VC Digital Image Recognition Technology typical case," the ninth chapter of optical character recognition technologies, including pretreatment, Edge tracking and feature extraction algorithm)

图像去噪的评价指标ENL, SSIM, PSNR,SNR,EPI(The evaluation indexes of image denoising are ENL, SSIM, PSNR,SNR and EPI)