MicrosoftCameraCodecPack-x64

LANDWEBER迭代函数用于图像显示二维图像的显示和应用(LANDWEBER iteration function for image display and application of two-dimensional image display)

帅选出人体,yolo人员检测，yolo模型，并识别(peole detect and get the pix point of it ,)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)

OneNote OCR 图片识别 实例源码下载

运用粒子群优化算法对PID控制器进行优化设计，通过matlab实现(The use of particle swarm optimization algorithm to optimize the design of PID controller, through matlab to achieve)

此代码通过OBMC(重叠块运动补偿)实现了视频插帧运算。利用已有的运动向量和前后两帧图像，通过OBMC算法，求出中间内插帧(This video frame interpolation operator code OBMC (overlapped block motion compensation). Using the existing motion vectors and two of front and rear image is obtained through the the OBMC algorithm, intermediate interpolated frame)

基于adaboost的人脸检测算法，对于初学者来说用很大的帮助(Adaboost-based face detection algorithm for beginners great help)

说明：  基于matlab和simulink的很好的例子(Matlab and Simulink based on the good example)

说明：  图像处理，图像分割，图像变换，图像特征提取，图像增强，图像编码压缩(Image processing, image segmentation, image transformation, feature extraction)

MATLAB数字图像处理，图像加噪声处理(MATLAB digital image processing, image plus noise deal)