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主成分分析ppt。对主成分分析的细节讲述的很清楚。(Principal component analysis ppt. The details of the principal component analysis described in very clear.)

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.)

评价描述子的好坏，能给出重叠率、正确率和查错率等(Evaluation of descriptors)

说明：  二值化算法，含otsu,niblack,kapur,kittlerMet等方法(Binarization algorithm, including otsu, niblack, kapur, kittlerMet and other methods)

本算法主要采用变分贝叶斯求解图像忙恢复问题。(This package contains implementations of the MAP_k blind deconvolution algorithms described in the paper "Efficient Marginal Likelihood Optimization in Blind Deconvolution" Levin, Weiss, Durand and Freeman, )

2009年CVPR最佳论文,何恺明的基于暗通道的图像去雾的matlab代码.(CVPR best paper in 2009 ，He Kai Ming Single Image Removal Haze is the Using the Dark Channel matlab code,)

C#写的绘图板，实现了直线，矩形，圆形，多边形，曲线和文字输入，可以任意的拖动所画的图形。(C# to write the drawing board to achieve a straight line, rectangle, circle, polygon, curve and text input, you can drag the drawing arbitrary graphics.)

本程序用于图像恢复，主要针对运动模糊和离焦模糊图像恢复问题，效果较好。(failed to translate)

说明：  opencv基础教程，对于初学者来说是个不错的选择。(opencv basic tutorial for beginners is a good choice.)

说明：  实现简单的梯度算法，这是一个函数文件。调用函数的主程序文件以及实验用的lena图都一并上传了，使用简单，快捷。注：该程序可以直接处理彩色图像。(Implementation of simple gradient algorithm, this is a function file. The main program file of calling function and Lena diagram for experiment are uploaded together. It is easy and fast to use. Note: This program can process color image directly.)