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这是图象处理模式识别一书的源代码，包括C++和MATLAB的程序，对于做这方面的研究人员来说，会很有帮助的。(This is an image processing pattern recognition on the source code, including C and Matlab procedures for doing this kind of research personnel, will be very helpful.)

遥感图像除云软件，原理是图像同时期替换掉有云区域，使用IDL语言编写(remove cloud from remote sensing image)

说明：  基于最小变分方法的快速图像复原方法，图像复原质量不变的情况下，加速算法的效率。(Image restoration based on Total Variation.)

说明：  利用偏振片玻片产生圆偏振光照射物体，计算反射光的穆勒矩阵(Using a polarizer glass to generate circularly polarized light to illuminate an object, calculate the Mueller matrix of the reflected light)

用Matlab来实现PCA，并分别求出图像在第一、二、三主分量上的投影。(Using Matlab to implement PCA, and images were obtained in the first, second and third principal component on the projection.)

基于形态学的滤波算法，tophat算法的matlab源代码即图片(Filtering algorithm based on morphology, tophat algorithm matlab source code for the image)

一种基于节点密度分割和标签传播的Web页面挖掘方法(A mining based on node density segmentation and labeling dissemination of Web pages)

阴影检测,基于OpenCV用于对图像中阴影的检测(Shadow detection, OpenCV for image shadow detection)

完整的图像加密算法以及对此算法加密结果的性能分析：像素之间相关性，图像的信息熵，以及NPCR,UACI(completely figure encryption scheme and corespond result analysis)

（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.)