搜索资源列表
LocalOstu
- 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
colorSignature
- 用openCV提取图片的象素值，用聚类进行分割，找出各个聚类的中心点，聚类个数是动态决定的，可重新设置个数最大上限。-OpenCV extract images using pixel value segmentation by clustering to identify the center of each cluster, clustering is a dynamic number of decisions can be re-set the upper limit of the num
hartigansSLC_OpenCV
- hartigans Sequential Leader Clustering Algorithm in terms of OpenCV (ver.1.1) Sequential Leader algorithm: Hartigan, J. A. (1975), Clustering Algorithms. John Wiley and Sons, Inc., New York, NY. 1. Select maximum cluster "radius" 2
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
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.
k-means
- opencv k-meas 聚类分割，将图片分为2部分，主要针对道路特征-opencv ， cluster
kmeans-cluster-with-openCV
- openCV平台下kmeans聚类的实现-Kmeans clustering implementation with OpenCV
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。
kMeansProjectiveClustering
- Kmeans in opencv to cluster image.
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
colorSignature
- 用openCV提取图片的象素值，用聚类进行分割，找出各个聚类的中心点，聚类个数是动态决定的，可重新设置个数最大上限。-OpenCV extract images using pixel value segmentation by clustering to identify the center of each cluster, clustering is a dynamic number of decisions can be re-set the upper limit of the num
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行
cluster
- 通过聚类分析识别肤色进而识别人脸，聚类使用opencv自带函数完成的，使用前需配库(cluster analysis facedetection)
craw-specification-cluster
- 用Matlab编写的小波去噪,对初学者有所帮助,还可以的(Matlab prepared by the wavelet denoising, some help for beginners, can also)
MQL_OpenCV4
- 通过提取图像里特征，进行聚类分析，从而可以判断天气情况。(Through the extraction of features in the image, the cluster analysis can be used to judge the weather conditions.)