facedetect1

LK光流算法 源程序（一层不带有金字塔的算法）(LK source optical flow algorithm (a layer of non-pyramid algorithm))

说明：  这是一个经过调试过的人眼定位和人脸检测算法的代码。(This is a debug-off position of human eyes and human face detection algorithm code.)

说明：  用于相位恢复基于FRENUP,LALALALLALA(FRENUP-based Phase Recovery)

meanshift算法的车辆跟踪，效果非常好，改进版的，希望对大家有用(Meanshift algorithm of vehicle tracking, the effect is very good, improved version of the hope of the useful)

说明：  灰度图像异或加密，函数需要输入一个要加密的图片，图片的灰阶以及一个伪随机比特流(Gray image XOR encryption, the function needs to input a picture to be encrypted, the gray scale of the picture and a pseudo-random bit stream)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)

matlab数字图象处理工具箱 包括imstack2vectors 霍夫变换等许多工具(imstack2vectors Hough transform matlab digital image processing toolbox includes many tools)

能进行车牌的识别，并把车牌的号码显示出来 (Able to identify license plates and license plate number displayed)

GVF Snake算法的VC源码。GVF是活动轮廓算法Snake的一种改进，能够解决Snake不能够收敛到凹行区域的缺陷(GVF Snake algorithm VC source. GVF active contour algorithm is an improvement Snake, Snake can be resolved can not converge to the concave line defect region)

图像反卷积 来自D. Krishnan, R. Fergus中提到的方法(image deconvolution The Matlab functions in this directory solve the deconvolution problem in the paper D. Krishnan, R. Fergus: "Fast Image Deconvolution using Hyper-Laplacian Priors", Proceedings of NIPS 2009. )