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
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.
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-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.
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.
K-means
- 通过Kmeans聚类方法，对图片中的路牌进行检测，随后仅输出路牌区域，而其他大方均为白色-detect the road sign in the photograph
1K_means
- 用K-means算法将点进行聚类，点以结构体的形式表示，opencv+vs2010跑通。-By K-means clustering algorithm point, the point structure in the form of representation, opencv+ vs2010 run through.
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
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.
354291
- An image abroad k-means clustering of the c + + source code, very easy to integrate and use
SLIC
- 超像素分割算法，基于K-means算法，自己写了一个方便优化，非常实用(Super pixel segmentation algorithm, very practical)