搜索资源列表
MRF_imgSeg
- 有指导的马尔可夫随机场（MRF）的图像分割代码，是有指导的方式（即用鼠标框出分类样本区域）。采用OpenCV编写。
CISE
- 这是一个使用fcm对彩色图像分割，VC开发，效果非常好，编译需要OpenCV-This is a color image segmentation using the fcm right, VC development, the effect is very good, you will need all OpenCV
face and lips
- opencv用来检测唇部和人脸，并且在图像窗口中添加一个新的矩形窗口-lips and face detects
facerecognition
- 采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the
OpenCVMatlab
- OpenCV库的Matlab函数封装调用 cvlib_mex封装了OpenCV库大约30个函数，OpenCV是当前流行的实时计算机视觉库，拥有很多的图像处理的算法。-cvlib_mex is a collection (over two dozens) of matlab callable routines from the OpenCV library www.intel.com/research/mrl/research/opencv/). OpenCV is a real time
featureExtraction
- 图像处理中的特征提取算法，做识别和检测也许都用的上-Image processing feature extraction algorithm, making identification and testing may be used on both
classification
- 图像处理与模式识别中的识别算法，刚才传了特征提取，这是后续-Image processing and pattern recognition in the recognition algorithm, just pass the feature extraction, which is the follow-up
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
fractalcompression
- 基于Opencv和MFC的分形图像压缩实现程序，Opencv用于读取图像，可以用其他库代替-fractal compression with Opencv and MFC
TX_HD_PP_CORR2
- 基于灰度匹配准则的图像匹配，能快速找出对应下帧图像中对应的图像-Matching criterion based on a grayscale image matching, can quickly find out the corresponding frame image in the image
labe_forOpencv
- 本例使用了opencv中图像数据结构IplImage ：首先进行第一次扫描，标记连通区域；然后对等价标记进行合并，最后进行第二次扫描，对等价标记进行重新标记。-This example uses a data structure of the opencv: IplImage. First, scan for the first time, marking connected region then mark the merger of the equivalence, and final
vector
- 代码设计了可以用来存图像轮廓的数据结构。类的设计。类似与OPENCV的设计方案-The code design can be used to save image outline of data structure. The design of the class. Similar and OPENCV design scheme
Resize
- 用opencv+vs2010打开，用来改变图像的大小，已调试通过.-Changing the image size
surf算法+匹配点的对应显示
- 利用opencv中的surf算法进行图像匹配，并将匹配对对应显示
rgbd_kinect
- 结合kinect景深图像对视频目标进行跟踪，在vs2010+opencv平台上测试通过。-Combined with kinect depth of field image of the video object tracking on vs2010+ opencv test platform.
facedetect
- 通过opencv和vs2010开发环境，从输入图像中识别出存在的人脸 可以识别出多个人脸-Through the opencv and vs2010 development environment, identify the existence of human face the input image can identify multiple faces
Nine_block_box
- 实现自动寻找九宫格初始状态到目标状态的最短路径并结合opencv图像切割以图像的形式展现出来。-Looking squared automatic initial state to target state and the shortest path opencv combined with images cut to form an image unfolded.
提取像素值
- 使用opencv 提取像素点，工具vs2013(Extracting pixel points)
迭代法图像复原算法3月20日改
- 使用C#的WPF与打印机调用打印例子。使用PrintDialog 类，用打印队列实现打印。利用vc6.0+opencv实现人脸识别(Use C#'s WPF and printer to call the Print example. Use the PrintDialog class to print with a print queue. Using vc6.0+opencv to realize face recognition)
pytorch-openpose-master
- 本例程是我研究生阶段做的一个小项目，该项目用pytorch的深度学习框架来进行人体姿态识别，能够实现头部和身体的骨架识别！图像处理方面加入了OpenCV包进行相关的处理，希望能帮助大家！(175/5000 This routine is a small project that I did in the graduate stage. The project uses pytorch's deep learning framework to recognize human body postu