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
Colordetection
- color detection using k-means algorithm-color detection using k-means algorithm
qq
- OpenCV也提供了另一個資料結構來做Rand的實作,CvRandState,被包在"cvcompat.h"裡,"cvcompat.h"的完整意思是Computer Vision Compatility,CvRandState的特色是可以選定常態分佈及均勻分佈,不過,它只能運用在矩陣跟一維陣列.-OpenCV also provides another data structure to do Rand' s implementation, CvRandState, was wrapped
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
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.
hand-detection
- 使用opencv，采用肤色原理检测手部位置，有一些噪声，但相对于手部位置比较容易去除。-In this post, as the progress goes, the hand detection technologies using openCV is introduced. As the pictures inllustrated below, this detection method is independent with distance and background ( just
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
cmeans
- 用opencv实现了c均值，这对于模式识别类的应用有很大帮助-With opencv c-means, this class of pattern recognition applications
tuxiang2
- 图像去雾处理程序-In recent years, with digital video monitoring technology is more widely used in the field of public safety, transportation and other requirements of the applicability of the monitoring system also rise. In order to monitor the system still
FindMoving
- 由运动目标检测的两种基本方法----帧间差分法和背景差分法,借助于OpenCV技术，在Visual C++ 6.0编程环境下开发了运动目标检测系统。该系统首先对不同途径采集的视频图像序列进行相关的预处理之后，分别采用不同检测算法检测出图像序列中的变化区域，最后用形态学滤波和连通性分析对变化区域进行后处理，从而将视频图像序列中的运动目标比较可靠地检测出来。-The two basic methods of moving target detection---- inter-frame diffe
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。
ex4_3
- 创建一个程序读入并显示一幅图像 a. 允许用户在图像中选择一个矩形区域，然后通过按住鼠标画一个矩形。当鼠标放开，高亮显示矩形框，注意，在内存中保留一个原始图像的副本，以防止修改图像时改变原始图像的数据。在下一次点击鼠标按键是，恢复图像并重新开始绘制矩形 b. 在另一个独立的窗口中，使用画图函数画一个图表，分别用蓝、绿和红色表示选中每种颜色的像素数量。这是选定区域的颜色直方图。x 坐标系表示像素值范围在0-31，32-63……，223-255，y 坐标表示在选定区域中对应像素的数量。对每
k-means
- 数据挖掘，或者适用opencv上的图像处理功能-Image processing functions of data mining, or apply on opencv
opencv
- 图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
yuanma
- 源码是Otsu的函数，这个函数是一个对图像进行取阈值的手段，内容不包含main函数。-Source code is a function of Otsu, a function is a means of threshold image, the content does not contain the main function.
KmeansaFCM
- 在opencv环境下使用fuzzy c means和kmeans算法实现图片像素RGB值聚类，希望对大家有帮助-using fuzzy c means and k-means algorithm to realize the RGB image segmentation in opencv.
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