搜索资源列表
FCMdemo
- 用模糊K均值（FCM）的方法对图像进行分类-fuzzy c mean clustering (FCM),segmentation
korcmeans
- 对于模式识别中的k均值（也称c均值）问题，给出了matlab实现。-pattern recognition for the k-means (also called c-means), is the realization of Matlab.
k_means_image
- 国外的一个图像K均值聚类的C++源代码，非常容易集成和使用，适合模式识别、图像处理等方面的开发！-an image abroad of K-means clustering of C source code, and is easy to integrate and use, suitable for pattern recognition, Image processing, and other aspects of development.
wkmeans
- 加权系数k均值算法，自动确定初始类中心，基于图像直方图的快速k均值算法-Weighted coefficient of k-means algorithm automatically determines the initial type of center, based on image histogram fast k-means algorithm
cluster
- 聚类的MATLAb代码程序~此代码实现的为K均值聚类~-Clustering MATLAb code- This code implements the program for K-means clustering ~
pic
- 用c#和emgucv实现了hough变换检测圆和最大类间方差和k均值聚类分割图像，k均值聚类的函数可填写分类数和迭代次数的阈值，而且是基于灰度的。（ps：函数都是自己实现的，但是读取图片信息用的是emgucv自带的函数）-With c# and emgucv achieved between hough transform circle detection and maximum variance and k-means clustering image segmentation, the fu
kmeans_fast_Color
- 一个快速k均值彩色图像的分割算法，运行环境是matlab！-A fast k-means algorithm for color image segmentation, the operating environment is matlab!
Image-segmentation
- K均值，ISODATA算法进行图像分割算法-K-means, ISODATA algorithm for image segmentation algorithm
background-model3
- 针对背景差法易受外界环境因素影响的缺点, 提出了一种基于改进K-均值聚类的背景建模方法。通过比较任意样本与该像素位置处的子类中心之间的距离, 对各个像素的观察值进行聚类, 并在聚类过程中逐步确定其类别数。一段时间的学习之后, 样本数最多的子类就构成了背景模型。仿真结果表明, 该算法即使在运动目标存在的情况下也能准确的提取出实际的 背景, 而且显著地降低了系统的存储量。-Aimed at the disadvantage that background subtraction was liab
k_mean
- 自己实现的K均值聚类程序，有比较详细的注释-My implementation of K-means clustering procedure, with detailed notes
kmeans
- K均值聚类算法，可用于图像分割，算法简单有效-K-means clustering algorithm can be used to image segmentation and it is simple and effective
kmeans
- K均值聚类算法，不放看看，可以运行的啊！-K-means clustering algorithm!
Image-processing
- 基于vc6.0的遥感图像处理，可以实现图像增强，植被指数计算，K均值分类等功能。-Vc6.0 based remote sensing image processing and image enhancement can be achieved, vegetation index calculation, K-means classification capabilities.
K_mean
- k均值代码，简单易懂，鼠标右键选择聚类中心-k-means code, easy to understand, right mouse button to select the cluster center
tiqubeijing
- 对叶片进行预处理和提取部分特征：1.均值去噪 2.k均值聚类提取复杂背景下的叶子图片 3.填充孔洞 4.去叶柄 5.提取轮廓 6计算纵横轴比、面积凹凸比、周长凹凸比、球形性、圆形性、偏心率、形状参数和矩形度等特征值并进行画图。- Pretreatment of leaves and extract some of the characteristics: a mean denoising 2.k means clustering leaf extract complex backgro
2011302590136
- 遥感原理实习，K均值分类，以及图像基本操作，打开保存等-Remote Sensing Principles internship, K-means classification, and image basic operations, such as open saved
GXMviv-ImageFusion
- 实现了影响融合的HIS变换算法，小波变换算法和相关系数加权融合。另外还写了k均值分类算法的程序。-Image Fusion
isodata22
- isodata算法的matlab实现,其中还附带K均值算法的源码实现。提供数据供大家验证-isodata algorithm matlab implementation, which also comes with K-means algorithm source code implementation. Provides data validation for everyone
K_AVERAGE
- 模式识别K均值处理，程序经过自己修改，可以运行-Pattern Recognition K-means treatment program after their changes, you can run
main
- 在MATLAB中，用K均值算法对一些点进行分类，并通过图形进行显示-In MATLAB, using K-means algorithm to classify some point, and through the graphical display