搜索资源列表
Kmeans_grayimage
- 简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
kMeansCluster
- k均值分类 效率高 代码简单 利用最小均方误差准则编写-k-means efficient
KMeansBMPSeg
- 模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序-One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clu
k-means
- k-means算法用matla实现车牌定位-License plate location achieved with matla
k_means_Segmentation
- 基于K-Means的纹理图像分割，利用k-means方法实现对于纹理的图像分割-K-Means-based texture image segmentation using the k-means method implementation for texture image segmentation
k-means
- 对BMP图像进行K_MEANS分类，效果较好，对初学者学习k_means分类算法很有帮助。-K_MEANS image classification of BMP, effect is better, K_MEANS classification algorithm for beginners helpful.
k-means-Algorithm
- k-means算法 k-means算法-k-means Algorithm k-means Algorithm k-means Algorithm
Fast-Image-Segmentation
- 台湾大学几位学者写的基于K-均值算法的快速图像分割，用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means Clustering with Histograms in HSV Color Space
K-mean
- 基于纹理度量的图像分割，适用于遥感图像，主要利用到K-mean算法。-Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.
km
- KMEANS源代码：k-means 聚类算法 图像处理分割-KMEANS源代码：k-means clustering algorithm for image processing segmentation
K-Means
- 这个目录包含了K - means算法的代码实现。源代码可以发现在KMEANS.CPP。样本数据isfound在KM2.DAT。 KMEANS程序接受输入向量的组成和计算使用K - means算法的集群中心。输出被定向到屏幕上。 -This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.D
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- K均值，随机产生一组数据并加以聚类，是学习图像处理的基础-K-means, random values, and clustering
K-means
- 本篇为分为2类的K-means变化监测，对于本实验中的图效果还可以。-Divided into two classes of K-means change monitoring
K-means-color-image-segmentation
- K-means彩色图像分割，有实验报告，main文件中还有区域生长的算法。-K-means color image segmentation, with experimental report.
K-MEANS
- 基于c++对模式识别中K均值算法进行实现，可以读取不同波段数，并且实现对地物的分类效果。代码简单易行。-K-means algorithm in pattern recognition based on the c++ implementation, can read the band number and classification of surface features. The code is simple.
k-means
- 数据挖掘-聚类分析：k-平均(k-Means)算法实现（C++） -Data Mining- Cluster Analysis: k-average (k-Means) algorithm (C++)
K-means
- 模式识别算法程序 K均值算法 主要是实现了K均值聚类分析算法，能够实现对图像的自动分类和识别。-Pattern recognition algorithm K-means algorithm K-means clustering analysis algorithms can achieve automatic image classification and identification.
k-means-for-image-segmentation
- k均值用于图像分割，对于相同颜色但深度不一样可以分割。-k-means for image segmentation, the same color depth can be split.
K-means
- 在诸多的图像分割算法中，K-means聚类方法体现出了高效性和简洁性。该代码完整实现了k-means算法，并利用该算法进行图形分割。k-means 算法接受参数 k，然后将事先输入的n个数据对象划分为 k个聚类以使得所获得的聚类满足：同一聚类中的对象相似度较高，不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-This code implements the K-means method for image segmentation,
K-means-color-segmentation
- K均值图像检测，GUI界面，可对彩色图像分割-K-means image detection, the GUI interface, color image segmentation