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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.
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.
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
K_Mean
- 关于K均值算法在遥感图像地物分类处理方面的应用-K-means algorithm in remote sensing image processing
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
KMkeen
- 基于人类视觉将图像分割成若干个有意义的区域是目标检测和模式识别的基础。图像分割属于图像处理中一种重要的图像分析技术。图像分割的基本方法是对灰度图像分割，处理图像的亮度分量，简单快速。本论文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。-Based on the human visual image is segmented into several meaningful regions is the basis for
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)