K均值图像分割，读入彩色图片，输出区域分割后的图片

一个levelSet工具箱,包含基本的分割方法及文档说明 -LevelSet a toolbox that contains the basic segmentation methods and documentation

本程序利用SIFT算法进行指纹识别 用SIFT检测出指纹中特征点 提取特征向量 将特征向量与指纹库中的向量进行匹配 从而识别出指纹-This procedure using SIFT fingerprint recognition algorithm using SIFT to detect the fingerprint feature points in the feature vector will be extracted eigenvectors and fingerprint library vector matching in order to identify fingerprints

this program is 10 percent noise adding process TO numbers 1 to 9

一种向CBitmap对象读取“*.bmp”文件的快捷方式。 1、建立自己的CBitmap派生类。 2、增加一个“Load from bitmap”的函数： BOOL CMyBitmap::LoadBitmap(LPCTSTR szFileName) { DeleteObject() HBITMAP hBitmap=NULL hBitmap=(HBITMAP)LoadImage(NULL,szFileName,IMAGE_BITMAP,0,0,LR_LOADFROMFILE|LR_CREATEDIBSECTION|LR_DEFAULTSIZE) return Attach(hBitmap) }-CBitmap object to a reading of "*. bmp" file shortcuts. One, to build their own CBitmap derived class. 2, add a "Load from bitmap" function : BOOL CMyBitmap : : LoadBitmap (LPCTSTR szFileName) (DeleteObje ct () HBITMAP hBitmap = NULL hBitmap = (HBITMAP) LoadImage (NULL, szFileName, IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE | LR_CREATEDIBSECTION | LR_D EFAULTSIZE) return Attach (hBitmap);)

一种改进的方法，自适应的高斯chirplet分解信号，文章很深入的讲解了退到过程。-a fast refinement for adaptive gussian chirplet decoposition

在matlab环境下，利用迭代法求图像阈值，然后实现图像的二值化处理.-get the image threshold by iterative algorithm in matlab. And transform the gray image into binary image.

人脸识别程序，安装摄像头之后根据视频扑火人脸进行跟踪-Face recognition process, the installation of video camera after the fire in accordance with face tracking

粒子滤波的程序,condensation-Particle filter procedure, condensation

Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively).