PCA4Images

填充区域图像，设置填充区域，填出图像的颜色(Filled regional images, set fill area, fill in the color of the image)

实现一个信号的WVD变换，针对的信号是非平稳的随机信号(To achieve a WVD transformation of a signal, the signal is a non-stationary random signal.)

Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。(The basic theory of Retinex theory is the color of the object by object for the long wavelength (red), medium (green), short wave (blue) light reflection ability to decide, rather than by the intensity of reflected light of the absolute value to decide, the color of the object under illumination nonuniformity effects, consistent with the Retinex, that is based on color constancy (color constancy based). Different from the traditional linear, nonlinear image enhancement method of only one kind of features, Retinex can be in dynamic range compression, edge enhancement and three aspects of color constancy hit the balance, thus enhancing adaptive to a variety of different types of images can be.)

这是基于稀疏表示的图像重建，用来做图像去模糊或超分辨，绝对可以用(Sparse Representation for Image Restoration)

基于阴影形成的原理及阴影区域的特点，研究阴影区域的特征表示方法； 基于阴影区域特征设计或改进阴影检测方法，检测出户外图像中的阴影区域； 在检测出阴影区域的基础上，研究阴影去除方法； 编程实现相关方法并进行实验验证及分析。(Shadow detection and removal of single image)

基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

C#的图像处理，用于验证码的识别功能，可以识别简单的有背景干扰的验证码(C# image processing, is used to identify functional verification code, you can recognize simple background interference verification code)

这是我根据别人的算法写的模拟停车场问题的c程序,原有算法有一些指针调用的错误！,现已改正()

This code implements two variations of the paper "High accuracy optic flow using a theory for warping" presented at ECCV 2004 by Dr. Thomas Brox.

实现光流的代码，能够绘制光流的运动场。代码简单，无需配置，直接运行(It is Optical flow code.)