搜索资源列表
NPatternRecognizer
- 这是一个机器学习的通用算法库，用.NET编写，实现了SVM,K-MEANS聚类等经典的机器学习算法-This is a general purpose machine learning algorithms library, use. NET prepared to achieve the SVM, K-MEANS clustering and other classic machine learning algorithms
track2
- 运动目标检测与跟踪：用的是pyramid L-K 光流追踪-Moving target detection and tracking: using a pyramid LK optical flow tracking
Colordetection
- color detection using k-means algorithm-color detection using k-means algorithm
kmean
- 在图象处理中运用k-均值法对图象中进行分类,在模式识别中有很大的用处.-In image processing using k-means method to classify images of, in pattern recognition is very useful.
k_means
- 实现K-means算法，高斯随机分布抽取数据 利用k-means算法实现分类-Implement K-means algorithm to extract the data using Gaussian random distribution of k-means classification algorithm
Only_BG_Build_homework1
- 使用opencv使得对输入的影像每K张做平均，并且这k张影像必须是以每一帧开始的image往后的K张做平均，然后得到连续的经过平均的video-Opencv makes use of the input image do mean every K Zhang, and these k images must be the beginning of each frame image is back to do the K Zhang average, and then get through th
KMeans
- 这是一个VC6.0和OPencv下的K均值的例子，希望对大家有帮助。-This is an exmaple under the VC6.0 and OpenCV, which has implemented the k-means algorithms.
Camera-Calibration-Parameters
- 利用opencv实现的相机参数的标定，包括内外参数，和世界坐标，U矩阵，K矩阵。-Camera Calibration Parameters； Intrinsic Parameters and Extrinsic Parameters, Rotation Matrix, Translation vector
untitled
- 利用opencv实现机器学习，K近邻分类器的小例子-Achieved using machine learning opencv, K small example of neighbor classifier
Kmean
- 基于OpenCV的例程，修改实现了基于MFC对话框构架的K均值算法，将部份注释和运行提示译成了中文，有助于更好地理解原程序。-MFC Dialog based K-mean algorithm modified from OpenCV source with Chinese comments added inside to make sure better understanding of it.
JuLeiFenXi2.1.2
- 用OPEN CV在VS2010下实现运动物体分离，算法理论：K—均值聚类算法-Moving objects in VS2010 with the OPEN the CV separation algorithm theory: K-means clustering algorithm
L-K
- opencv 下实现的L-k光流估算模型。有利于理解l-k光流、-the opencv achieved under the Lk optical flow estimation model. Conducive understanding lk optical flow,
OpticalFlow
- 用opencv2.3.1在vs2008开发的l-k光流法的运动估计，有详细的注释-Movement opencv2.3.1 in the vs2008 development lk optical flow method is estimated that there are detailed notes
k-mean-sift
- K均值分割 在图像角点提取中使用 使用VC++进行的编程-K-means segmentation the image corner extraction using VC++ carried programming
k-means
- k—均值算法opencv代码实现。 k-Means 算法是一种 cluster analysis 的算法，其主要是来计算数据聚集的算法，主要通过不断地取离种子点最近均值的算法。
k-mean-usage
- k均值的用法示例，它的数据生成部分可用于其它机器学习程序-A example of k mean usage
CPP-k-means
- 图像处理，C++环境下的k-means聚类算法，实现图像分割-Image processing, k-means clustering algorithm C++ environment, image segmentation
k
- 主要是K-Means算法的实现，可以直接执行，其中图片的载入用到opencv，其他均为C++源码。-Mainly K- Means algorithm implementation, which can be d directly, the images load use opencv, other are c++ source code.
K均值聚类在基于OpenCV的图像分割中的应用
- 介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。(This paper introduces the segmentation of traditional image segmentation and K- mean clustering algorithm, then uses OpenCV function to implement it, and introduces the basic functions of
K均值分类
- 基于VS2010平台和openCV开发的，实现遥感影像的k均值分类(K mean classification for remote sensing images)