code

将一个图像的感兴趣区域替换到另一张图像的相同区域中(Will replace the region of interest of an image to another image of the same region of the)

说明：  如题，里面有414张人脸图+matlab 图像重构代码和图像主成分代码(As the title says, there are 414 face pictures in it.+Model of image rebuild +Pca for Image code)

摄像标定法求T R矩阵的方法 摄像标定法求T R矩阵的方法 摄像标定法求T R矩阵的方法(how to calculate the matrix R and T using the Camera Calibration method)

对离散特征点进行直线拟合，效果很好，文件中还有平面拟合的例子，以及三焦点张量的部分主要程序，希望对需要的人有帮助(Discrete feature point fitting a straight line, with good results, part of the main program file plane fitting example trifocal tensor hope that those who need help)

虹膜归一化的代码，只要给出定位好的虹膜图片，就可以很好的进行归一化，使用的极坐标变换。(Normalized iris code, as long as the position is given a good iris image, you can be a good uniform, the use of the polar coordinate transformation.)

Adaptive Perona–Malik Model Based on the Variable Exponent for Image DenoisingThis paper introduces a class of adaptivePerona–Malik (PM) diffusion, which combines the PM

基于分片重排列技术的维数约简方法，用于特征提取。(Patch Alignment for Dimensionality Reduction，IEEETrans.，2009.)

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

通过GDAL读取常用遥感影像，如img，tiff，可实现读取显示和雷达影像处理的一些基本算法(Read through GDAL common remote sensing images, such as img, tiff, read the display and radar can achieve some of the basic image processing algorithms)

这是图像恢复中的盲反卷积迭代算法的matlab的源程序，对于学习数字图像有很大的好处！(This is image restoration in the Iterative Blind Deconvolution algorithm matlab source for the study of digital image has a lot of benefits!)