AdaBoost_TrainData

说明：  在matlab的gui中画出手写数字识别的gui(Draw the GUI of handwritten numeral recognition in the GUI of MATLAB)

hough变换检测圆的函数。做图像处理的人可以用来参考。(hough transform round detection function. Do the image processing can be used for reference.)

说明：  实现了图像的打开功能，并能实现图像打开时的扫描，渐进，马赛克等功能(To realize the image of the open function, and can achieve image scans open, progressive, mosaic and other functions)

用Visual C编的用于语音的频频谱的检测，能显示出来语音的频谱图。 (Visual C series of the spectrum for voice detection, displayed the frequency spectrum of the voice.)

图像几何校正中的绝对变换使用matlab编程(Absolute transformation in image geometric correction using MATLAB programming)

用matlab写的一个将人脸图像进行归一化处理的程序，主要是将多个图像的尺寸进行调整使其大小一致。(Matlab write a face image the normalization processing program, mainly to adjust the size of multiple images to make it the same size.)

kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca(kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca)

数字图像处理和图像识别的vc++编程方法(Digital image processing and image recognition of the vc++ Programming)

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. )

一段车牌分割的matlab程序 可以实现车牌的定位分割, 希望大家讨论(a division of Matlab registration procedures can be achieved by positioning plates segmentation, we hope that the discussion)