SAR-image-registration

处理计算机视觉中图像分析的图像轮廓检测和分层图像分割问题(Image processing computer vision analysis of image contour detection and hierarchical image segmentation)

该程序利用全变分算法来去除图像噪声，提高图像的视觉效果。(The program to use the entire variational algorithm to remove the image noise, enhance the visual image.)

目标跟踪的两个算法，分别是运动变化和基于高斯权值的颜色空间HSI的meanshift算法(Two target tracking algorithm, namely, Gaussian-based movement and the right to change the value of the HSI color space meanshift algorithm)

通过光瞳函数傅里叶变换计算 光学系统OTF(By the optical system of the Fourier transform of the pupil function OTF)

此程序利用openCV中人脸识别于模版匹配实现机器人的运动控制功能，其中机器人控制用了Aria的库和模拟器，使用者可根据控制需要替换这部分程序。 本程序的核心部分一直用于只能轮椅的人脸控制。(This process us face recognition in openCV and template matching to achieve robot motion control functions, which used the Aria library and robot simulator, user need replace this part of the control procedures to achieve their application.)

SAR图像分类程序，基于灰度阈值的分类，无监督学习的分类简单。(SAR Image classification)

基于opencv实时图像的2值化处理，一定要有摄像头(Opencv-based real-time image processing of two values, there must be a camera)

SIFT算法提取关键点，SIFT算法提取关键点(SIFT algorithm to extract key points, SIFT algorithm to extract key points)

vssamp算法，图像变步长自动匹配重构重构算法，基于samp算法，更快速有效的重构复杂图像(vssamp variable step size image reconstruction algorithm automatically matches reconstruction, samp algorithm based on more quickly and efficiently reconstruct complex images)

通过GAN和WGAN在python的tensorflow平台上实现图片生成，与真实图片基本一致。(Through GAN and WGAN, the image generation is realized on the tensorflow platform of python, which is basically the same as the real picture.)