suanzi

图像处理技术中用于图像聚类的一段程序，即将区域中具有相同灰度或其他属性的区域提取出来。 (image processing technology for image clustering section of procedures, upcoming region with the same intensity or other attribute extraction from the region.)

一维条形码的识别源码，阈值处理，二值化处理，去噪处理(Bar codes to identify source)

自适应双边滤波，利用空域低通滤波和图像灰度信息的非线性组合，自适应的对背景进行抑制。(Adaptive bilateral filtering, the use of the airspace low-pass filter and image grey scale information of nonlinear combination, adaptive to suppress background.)

相位编组提取长直线的强弱文理，用于灰度图像明显的图像的处理(Marshalling phase extraction strength ARTS long straight, clear images for grayscale image processing)

本书介绍了图像去模糊化的一些基本的知识，并且主要针对svd和spectral decomposition的去模糊算法进行了介绍，以及对于这些方法的一些提高计算速度的算法进行了详细是介绍(This ebook intruduces some basic knowledge of deblurring, especially the methods of SVD and Spectral Decomposition, and some fast algorithms for the two methods.)

程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

灰度图像质量评价，以matlab为平台，介绍了几种关于灰度图像算法的质量，以数据结果来说明图像的质量。(Gray image quality evaluation, in order to matlab as a platform to introduce several gray image algorithm on the quality of data to illustrate the results of image quality.)

一些使用支持矢量机进行图像分割的算法，以及相关的文献资料，打包下载的好东西哦(Some use support vector machine algorithm for image segmentation, and related literature, package download a good thing)

基于bp神经网络的车牌字符识别源程序，采用字符比对的方式进行切割(The structures of the neural networks were designed using a constructive algorithm where the basic idea was to start with a small network,then add hidden units and weights incrementally until a satisfactory solution be found .The higher efficiencies were for a 30×17×10 number network and letter network)

对于图像不同纹理特征值（能量、熵、惯性矩、相关）的提取(For different image texture feature value (energy, entropy, moment of inertia, related) extraction)