DCT+DWTmatlab数字水印代码

说明：  图形标定工具箱，内含Tsai和张正友视觉标定源程序，吐血珍藏。(Graphic calibration toolbox containing Tsai and Zhang are the Friends of visual calibration source, hematemesis collection.)

相机的单目标定，使用张正友标定法，可靠使用(The monocular camera calibration, using the zhangzhengyou calibration method, reliable use)

采用归一化互相关的算法进行图像匹配，经过测试非常有效(Normalized cross-correlation image matching, tested very effective)

该文件涵盖了65个使用IDL进行图像处理的源码例子，对IDL语言以及ENVI软件的理解非常有帮助。(The document covers 65 for image processing using IDL source code examples, on IDL and ENVI software' s understanding of language is very helpful.)

介绍了粒子滤波目前主要应用领域, 最后对粒子滤波的发展提出了展望。(Describes the particle filter is currently the main application areas, and finally the development of particle filter raised prospects.)

完整的图像处理程序，完成基本的图像处理功能，如，各种二值化算法的实现，图像边缘检测，图像分割，降噪等。其中有车牌识别实例。(Complete image processing program, the completion of the basic image processing functions, such as, a variety of value of implementations of the algorithm, image edge detection, image segmentation, noise reduction. License plate recognition instance.)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

HOG adaboost pedestrian-detect

基于模板匹配的另一种人脸识别的算法，很实用，利用肤色建模来建立人脸皮肤模型(Another based on template matching algorithm for face recognition, very practical, using skin color modeling to create a human face skin model)

说明：  K均值聚类算法，将模式识别方法与图像处理技术相结合，掌握利用K均值聚类算法进行图像分类的基本方法(K-means clustering algorithm, the pattern recognition method and image processing technology, to master the use of K-means clustering algorithm is the basic method of image classification)