diffraction

本代码的主要功能是实现数据格式之间的转换，实用的是IDL代码，好用实用且清晰。(The main function of the code is to achieve conversion between data formats, practical IDL code, good with practical and clear.)

说明：  matlab实现的简单的车牌识别，附有相关模板库(matlab chepaishibie,and xiangguanmubanku)

（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。 （2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。 （3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量； 然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)

读取256色，真彩色图像，分别显示，图像灰度化，二值化，直方图，直方图均衡化(Read 256 colors, true color images were displayed image graying, binarization, histogram, histogram equalization)

用均值滤波、中值滤波、维纳滤波法给加高斯噪声的图像去噪(Using the mean filter, median filter, Wiener filter to add the Gaussian noise image denoising)

运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)

new edge-directed interpolation这篇文章所提算法的matlab实现(new edge-directed interpolation algorithm in this article referred to realize matlab)

该函数可接受输入图像和一个滤波函数，可处理所有的滤波细节并输出经滤波和剪切的图像。(Performs frequency domian filterlying.)

NIPS2006论文“Saliency based on Information Maximization”的源码，用于显著图计算，作者是N. Bruce 和 J.Tsotsos (a code for "Saliency based on Information Maximization",N. Bruce &J.Tsotsos ,NIPS,2006)

Matlab在一个图形上添加多个colormap(Matlab adds multiple colormap on a graph)