calibration

很好的将lab空间中各颜色分量区分开，亲自使用过修改即可使用(It is very good to separate the color components in lab space.)

用wpf实现一个简单的手滑切换图片的实例

DCT1实现一维离散余弦变换； DCT2实现二维离散余弦变换； 其中使用的算法是碟形算法来实现频域变换(DCT1 peacekeeping achieve a discrete cosine transform; DCT2 achieve two-dimensional discrete cosine transform; the use of the algorithm is dishing algorithm to achieve the transformation frequency domain)

说明：  灰度图像异或加密，函数需要输入一个要加密的图片，图片的灰阶以及一个伪随机比特流(Gray image XOR encryption, the function needs to input a picture to be encrypted, the gray scale of the picture and a pseudo-random bit stream)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)

matlab模拟退火工具箱，包含模拟退火运行所需的各种函数，是模拟退火的一个非常有力的工具。(simulated annealing Matlab toolbox contains simulated annealing operation of the various functions, Simulated Annealing is a very powerful tool.)

实现LLE算法，本算法是改进的LLE算法，主要是针对人脸图像的。()

对图像进行小波分解,可以调整层数,效率较高,精确度较高(The image wavelet decomposition, you can adjust the number of layers, higher efficiency, higher precision)

说明：  一系列关于图像处理的matlab常用源码合集(A collection of common source codes about image processing of MATLAB)

说明：  通过纹理方向估计消失点，通过消失点来检测道路区域。 该程序应用到了基于纹理的张量投票算法来估计消失点；通过纹理方向和颜色信息，生成用于估计两个最主要道路边界的直方图；最后将道路区域定义为两个检测到的道路边界之间且低于估计的消失点的区域(The vanishing point is estimated by the texture direction, and the road area is detected by the vanishing point. The program applies a texture-based tensor voting algorithm to estimate the vanishing point; through the texture direction and color information, generates a histogram for estimating the two most important road boundaries; finally defines the road area as two detected road boundaries. An area between and below the estimated vanishing point)