这是用vc++进行图像变换的源代码，hough变换

本程序主要实现对退化图像进行复原，主要有运动模糊图像复原，逆滤波复原，维纳滤波复原-The main achievement of this procedure on the degradation of image recovery, there are motion-blurred image restoration, inverse filtering to recover, Wiener filter restoration

一个关键桢动画的实例，用到MorphAnimation-Examples of a keyframe animation, using MorphAnimation

这是一本matlab开发书籍，介绍了matlab的图像处理以及其他的操作。-This is a matlab development books, the introduction of the matlab image processing and other operations.

这是人民邮电出版社出版的《Visual C++数字图像处理》的源代码，很好的，希望对大家有用-This is the people of Posts and Telecommunications Publishing House published

这个是应用与摄像机标定的程序的模拟仿真。对场景中N条相等的平行线进行摄像机内参标定，看提供的约束有几个。其中涉及到数据的归一化处理以及L－M最优化。-This is the application of camera calibration and simulation procedures. Article N of the scene the same parallel line camera calibration reference, see Constraint provided there are several. Which relates to data processing as well as the normalized L-M optimized.

C编写的图象处理程序，包括如图象打开，显示，存储，镜像，滤波等图象处理技术，非常适合初学者。-C prepared by image-processing procedures, including such as the image open, display, storage, mirroring, filtering, image processing technology, is ideal for beginners.

SAR影像单视数据转为多视数据，数据间相互转化，快捷处理SAR数据-Single-look SAR image data into a more visual data, data inter-conversion, fast processing SAR data

模式识别常用函数，包括模式融合、PCA、LDA等经典算法-common function in pattern recognition，including pattern fusion，PCA.

This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user

BlurTemplate.m为模糊模板函数子程序 DIPexp2.m为用逆滤波和维纳滤波进行恢复的源程序-Template function for the fuzzy BlurTemplate.m Subroutine DIPexp2.m using inverse filtering and Wiener filtering for the restoration of the source