搜索资源列表
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
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
Kjunzhi
- 为非监督分类的一种——K均值算法，这里设定的适用于灰度图像，分类后的图像在显示的同时保存在D盘-A non-supervised classification- K-means algorithm, set applies to gray image, classified image display while stored in the D drive
kMeansCluster
- k均值聚类算法Matlab代码实现,可以直接运行-k-means clustering algorithm Matlab code to achieve, can be run directly
SLIC_SuperPixel
- 基于K-means聚类的超像素分割，可用于图像处理和模式识别-superpixel segmentation
k_means-clustering-algorithm-program
- 可以很好的将一个图像矩阵进行聚类，生成一个聚类后的图像。-A based on the matlab image k-means clustering algorithm program
k_mean_diff
- 首先进行帧差处理，根据得到的帧差进行k均值算法，完成图像分割-First frame difference processing, k-means algorithm based on frame difference, to complete the image segmentation
kmeans_image-segmentation
- kmeans_图像分割代码,能为深刻了解K均值算法提供一些帮助!-the kmeans_ image segmentation code, to provide some help for a deep understanding of the K-means algorithm!
K_means
- 图像分割中K-means聚类算法的matlab实现-Image segmentation in the K-means clustering algorithm matlab implementation
km
- 对于多类划分我们常用k均值聚类 这个程序实现了对图像的多类聚类-Divided we used k-means clustering procedure for multi-class, multi-class clustering images
2008302590209
- 该程序可以实现基于K均值算法对彩色遥感图像(如SPOT)进行非监督分类 可以输入分类类别数,程序自动生成分类后的遥感专题图-The program can be achieved based on the K-means algorithm unsupervised classification of color remote sensing image (SPOT), you can enter the number of the categories, the program autom
Image-processing
- 对遥感影像进行增强，平滑去噪等，还包括K均值分类-Remote sensing image enhancement, denoising, also including the K-means classification
Kmeans
- k-means算法，将图像元素剥离显示出来-K- means algorithm, spin out the image element is displayed
sp_kmeans
- k均值算法，比matlab自带的要快很多，值得借鉴的算法-k-means algorithm, matlab comes much faster, is worth learning algorithm
SARchange-detection
- 结合领域差值法和领域比值法结构构造差异图，然后利用直方图谱聚类方法结合k-means进行变化检测-Difference method combined with field difference ratio method and the field structure diagram, and then using the method of spectral clustering histogram combined with k- means for change detection
Kmeans
- k均值聚类算法，可以有效的找到聚类中心，并且把两类聚在一起，很经典实用。-k-means clustering algorithm, can effectively find the cluster center, and the two categories together, very classic.
kkmeans
- k 均值算法用于图像分割,根据灰度图自适应地确定分类数并进行分割，需要先用k均值初始化-k’-means algorithm for image segmentation, based on grayscale adaptively determine the number of classification and segmentation, you need to use the k-means initialization
vlfeat-0.9.16.tar
- VLFeat是一款由Andrea Vedaldi和Brian Fulkerson先生创建的开源图像处理库，都属于机器视觉算法，vlfeat库有C和matlab两种实现，包括了SIFT,MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift 这个库是C语言写的，效率比较高，支持Windows, Mac OS X, and Linux操作系统。可以在matlab、Shel
classification
- 各种非监督分类遥感算法的IDL代码，包括K均值，ISO聚类-Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering
secai
- 简单的K均值聚类法，本文中选用了5个聚类中心点，具体的聚类中心个数可以参考灰度直方图来选取-Simple K-means clustering method, this paper has selected five cluster center, the specific number of cluster centers can refer to the histogram to select