搜索资源列表
kmeans
- 在图形分割方面K-means算法有着极其重要的作用，此方法得到很好的应用-In graphics division K-means algorithm plays an important role, this method to obtain the very good application
K_means_clustering
- 聚类算法，用于实现多类数据的聚类分析，K-means是其中的一种-Cluster analysis, K-means clustering algorithm, used to implement a variety of data
k_means
- matlab中使用k-means聚类实现图像分割-using k-means clustering matlab image segmentation
Kmeans_image
- 使用matlab编写的针对图像的k均值聚类程序-K-means clustering procedure using matlab for image!
classification
- 一些典型的模式分类及聚类方法 包括k均值 FDA PCA LMS 贝叶斯 K近邻-The typical pattern classification and clustering methods including k-means FDA PCA LMS Bayesian K-nearest neighbor
Kmeans2forImage
- k均值聚类二值化字符图像，通过把RGB图像分割成不同区域-k-means clustering binarized character image, by RGB image segmentation into different regions
image-clustering
- 图像的非监督分类，主要包括K均值、FCM等-Unsupervised classification of images, including K-means, FCM
IMGViewer(KmeansandISODATA)
- k-means和ISODATA的分类算法实现-k-means and ISODATA classification algorithm
323134k-meansguanjianztiqu
- k-means_Program实现k-means关键帧提取，背景提取等-The k-means_Program keyframe extraction k-means, background extraction ......
kmeans
- 将彩色图像，转化到Lab空间，利用K-means类聚对图像进行分割-The color image is transformed into Lab space, the use of the class of K-means poly image segmentation
MCore_SVT
- Nister（2006）等人的层次聚类算法，按照多线程k-means方法进行多线程层次聚类，程序中代码对SIFT特征进行聚类。开发环境：vs2010-Implementation of hierarchical k-means, proposed by Nister et al, 2006. This is a multi-thread implementation of k-means and multi-thread implementation of the hierarchical me
CLASSIFY
- k均值算法的程序，主要用于图像处理中的图像分类-k-means algorithm, program, mainly for image processing, image classification
Test
- K means+PSO for Image Segmentation
KMIS
- Image Segmentation using K means
k_mean_seg
- 利用k均值算法对图像色彩进行聚类分割，将图像中色彩相近的分割成一块。一种很好的图像分割算法。-K-means clustering segmentation algorithm for image color, the color in the image is divided into a similar. A good image segmentation algorithm.
classification-and-fusion
- 基于VC6.0的MFC实现，功能包括：图像分类（K均值、ISODATA）、图像融合（基于高通滤波的加权融合和非加权融合、HIS融合）、直方图均衡化、直方图匹配、RGB与HIS之间的相互转换-based on MFC, functionality include: image classification(K means and ISODATA),image fusion(fusion based on HIS transformation and fusion based on high pas
kmeans_seg
- 基于K-means聚类的图像分割算法，想法比较简单，实现很方便，运行速度很快，有例图。-Image segmentation based on K-means clustering algorithm, the idea is relatively simple, very convenient, fast run case diagram.
image-classification
- K均值算法和ISODATA算法的源码，用C++编写，内附一张TM的卫星影像作为实验数据，具体算法原理可以参考武大舒宁、马洪超、孙和利版的《模式识别》一书-The source code of K Means and ISODATA algorithm, written in C++, with a TM image attached. For concrete algorithm, you are referred to the book Pattern Recognition written
RBF_k.m
- 3.基于k均值聚类的RBF 网设计算法 - 3. RBF network design algorithm based on k-means clustering.
imageclustering
- 遥感图像处理，模式识别，用C++编写的K均值分类和ISODATA分类。-using the VC++6.0 tool to realize the imageclustering based on k-means and isodata