dongmo_version

说明：  卡尔曼滤波源代码，含有噪声设置，特别适合初学者(Kalman filter source code, with noise, especially for beginners)

this source code is chp6ex14 matlab

bivariate EMD( illustration, mean definitions, principle , distretch)

用matlab编写的程序集合，主要是完成括亮度变换、线性和非线性空间滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、识别(Matlab procedures used to prepare the collection, mainly including brightness achieve transformation, linear and nonlinear spatial filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, recognition)

讨论了VC++语言和Matlab语言的接口技术，并有具体程序，为二者的交互编程提供了可能。(Discussed VC++ Language and Matlab language interface technology, and there are specific procedures for the two interactive programming possible.)

matlab图像处理，包括直方图均衡化，平滑滤波，拉普拉斯算子增强，及椒盐噪声的滤波处理！(failed to translate)

学习基于状态空间的模型预测控制强烈推荐的一本书(Model Predictive Control for State Models W.H. Kwon and S. Han)

用matlab进行视频读取的程序，并附有c语言程序，很有价值。(Using matlab to read the procedures for video, together with c language program, very valuable.)

光孤子模拟基本程序，要自己设置参数，N P0 gamma等。(Soliton analog basic procedures to set up their own parameters, N P0 gamma and so on.)

(1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。 (3) 使用RANSAC方法，确定变换参数。 (4) 图像融合 ((1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion)