888_Anisotropic_diffusion_in_image_processing

基于数学形态变换的骨骼CT边缘提取 Canny算子(Transformation of bone based on mathematical morphology edge detection Canny operator CT)

光场图像渲染技术，利用稀疏分层算法对图像深度进行分层渲染，再利用颜色一致性约束进行去噪处理，通过所给出的图像阵列渲染出中间各个视点的图像(Optical field image rendering technology, the use of sparse hierarchical algorithm for image depth rendering, and then the use of color consistency constraints for noise processing, through the given image array to render the image of the middle of the various views)

通过区域迭代合并与定位切图的图像分割算法，非常好的。(Image Segmentation by Iterated Region Merging with Localized Graph Cuts)

视觉测量中编码点与非编码点的匹配的方法实现(Vision measuring, coding point and the coding point matching )

线性同余伪随机数发生器、小数开方伪随机数发生器、利用Logistic方程和混合光学双稳模型产生混沌序列产生的序列矩阵(Linear congruence pseudo-random number generator, decimal square pseudo-random number generator, using Logistic equation and hybrid optical bistable model to generate sequence matrix generated by chaotic sequence)

说明：  脆弱性数字水印能为多媒体内容完整性认证和篡改检测提供有效的解决方案。该文对用于图像认证的脆弱性数字水印技术的研究 现状、一般原理、基本特征、典型算法进行了综述(The vulnerability of digital watermark for the integrity of multimedia content authentication and tamper detection to provide an effective solution. The image authentication for the vulnerability of digital watermarking technology, research, general principles, basic features, typical algorithms are reviewed)

人工选择聚类中心，用k-means聚类方法对图像进行分割，效果不错的(artificial selection cluster center, k-means clustering method for image segmentation, the good results)

关于交通流三参数检测的MATLAB程序(For the detection of traffic flow parameters MATLAB program)

程序将界面与数据处理分开，界面采用MFC的对话框模板，对注册、训练、识别和主界面分别建立一个类，通过消息处理函数与用户进行交互，利用多线程来实时显示图像。 数据处理又分为了CFaceAlign（人脸检测+几何归一化）、CLightPrep（光照归一化）、CFaceFeature（Gabor特征提取）、CSubspace（计算Fisherface子空间）四个类，还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立，互不影响。 每个类的具体方法请见相应头文件中的注释。(The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.   Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other. Specific methods of each class, see the comments in the appropriate header files.)

说明：  SVM算法的线性分类，图像分类单幅遥感图像特征提取分类(Linear classification of SVM algorithm, image classification, feature extraction and classification of single remote sensing image)