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
CPPBuilder-photo-dector
- C 调用opencv，边缘检测，图像分割，插值拟合，聚类变换，图像修改-C call opencv, edge detection, image segmentation, interpolation fitting, clustering transform, image modification
HarrisDetector
- Harris角点检测是一种经典的角点检测方法，该代码中包含 1.原始的直接调用OpenCV实现角点检测； 2.封装自定义类来改进角点检测； 3.实现了增加容忍距离解决特征点聚类是角点分布均匀-Harris corner detection is a classical corner detection method, the code contained 1. The original of directly calling OpenCV corner detection to
1EMalgorithm
- 利用期望最大化聚类算法，从txt文件中读如200+个点的坐标，并将这些点尽心聚类。开发环境为opencv+vs2010-Expectation Maximization clustering algorithm, txt file read coordinates 200+ points, and these points dedicated cluster. opencv+ vs2010
K_means
- K均值聚类算法 属于模式识别的一种基本算法 在此没有与opencv关联-K-means clustering algorithm A basic pattern recognition algorithm is not associated with this opencv
slic
- Simple Linear Iterative Clustering（SLIC） 算法实现； 需要添加 Opencv-Simple Linear Iterative Clustering (SLIC) algorithm we need to add Opencv
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.