FCM

使用matlab调用opencv做成的adaboost人脸检测DLL模块，在usb摄像头采集的视频序列中检测人脸并实时显示， 实时性比C低。 下载后可以直接在matlab运行，不要改动文件夹内的文件相对位置。(Opencv matlab call made using adaboost face detection DLL module, usb camera capture video sequences of face detection and real-time display, real-time lower than C. Download can be run directly in matlab, do not change the file folder relative position.)

BMP转位图 6410 logo bmp-C(BMP bitmap transfer)

滤波器图像增强的matlab算法实现程序。本人自己给出的程序代码(gabor wavelet matlab algorithm. Program code given by the original author)

求质心到图像轮廓边缘的距离，并将其用figure表示出来(The distance from the center of mass to the edge of the image contour)

MRF程序：建立了马尔科夫随机场 应用于图像去噪 不过此程序有待进一步调试(MRF procedure used in image denoising)

说明：  计算机图形学基本算法 DDA直线 中点直线 BRESEMHAM圆 正负法圆 B样条曲线 B曲线 (DDA line algorithm for computer graphics, the midpoint of the basic straight-line method BRESEMHAM circle round the positive and negative B-spline curve B curve)

说明：  此算法可以实现任意两个图像的配准（整体平移） (This algorithm can achieve any two image registration (the overall translation))

利用积分图的方式提取图像hog特征，用于人脸、行人检测。(Using the integral plot to extract the image hog feature, for human face, pedestrian detection.)

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)