搜索资源列表
KMeans3-based-opencv
- 基于OpenCV的K-均值算法,用于聚类分析,如图象的颜色聚类,生成相关的颜色表等.-the K-means algorithm for clustering analysis, such as image color clustering, Formation of color, and so on.
Kmeans
- 基于opencv的kmeans聚类实现 输入文本数据，进行聚类输出-Opencv-based clustering of kmeans the input text data, clustering output
20090501SleepingKoala
- 所上传文件包包括6种vc++源代码：使用opencv的实现可视图的静态路径规划；简单的svm算法；基于vc2008的图像匹配（多工程结构）；基于局部搜索的K-means聚类算法；三维匹配中的ICP算法；视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path
kmean
- 基于OpenCV和C++的K-means聚类源代码-Based on OpenCV and C++, K-means clustering source code
SeqPartition
- 基于距离的点集分类程序，可以把点按相对距离分簇，使用opencv编写-Distance-based classification procedures set of points, you can put points in relative distance clustering, using opencv write
K_MeansSeg
- KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
Clustering-algorithm
- 聚类算法程序，VC编写，已编译通过，未调用opencv函数，可以用来学习聚类算法-Clustering algorithm, VC writing, compiled by, no call opencv function can be used to study clustering
MARK_Kmeans
- 使用k-means算法对一副RGB色彩空间的图像作简单的聚类。根据命令行提示输入聚类的大小K，程序自动计算每一个像素点的归属并着色该点为该类的色彩均值。工程运行于VS2008环境，需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。-Using k-means algorithm on an RGB color space images to make a simple clustering. According to the command prompt enter the
color-cluster
- 基于opencv的图像颜色聚类算法。聚类精度较高，但颜色数目需要输入。-Opencv image-based color clustering algorithm. Clustering high accuracy, but the number of colors required to enter.
Opencv-ref-man-2.3.1
- opencv 2.3 英文详解 比较新 目录如下 Introduction 1 1.1 API Concepts 12 core. The Core Functionality 7 2.1 Basic Structures .7 2.2 Basic C Structures and Operations 45 2.3 Dynamic Structures 77 2.4 Operations on Arrays104 2.5 Drawing Functions
kmeans-cluster-with-openCV
- openCV平台下kmeans聚类的实现-Kmeans clustering implementation with 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.
clustering
- 使用种子法实现基于opencv和vs2013的连通区域标记-Realization and connected component labeling based opencv use vs2013 Seed Law
点聚类
- 对图像中的检测点进行聚类，生成图像框，基于opencv(Clustering the image detection points to generate rect based on OpenCV)
354291
- An image abroad k-means clustering of the c + + source code, very easy to integrate and use
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
divnted-the
- DBSCAN是一个基于密度的聚类算法,改算法将具有足够高度的区域划分为簇(DBSCAN is a density based clustering algorithm, the algorithm will have enough height area is divided into clusters)
epbxvcf
- 关于聚类问题的matlab程序以及其中函数的说明 推荐一下(Matlab, and the function about clustering problem recommend)
gvcqq
- The IMC - PID is using the internal model control principle for PID parameters is calculated, Clustering analysis based on Euclidean distance, The entire training process BP neural network.
kmeans
- 基于windows平台和k-聚类算法，对平面点集进行聚类(Based on the windows platform and the k- clustering algorithm, the plane point set is clustered)