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FCM聚类算法
- 图像处理方面，标准FCM聚类算法源代码，可以根据自己论文的需要进行修改，重要的是完全显示了算法的实现过程，是对你绝对有用的好东东！
聚类算法
- 聚类算法
在matlab下的k-均值聚类进行图像分类分割处理
- 在matlab下的k-均值聚类进行图像分类分割处理,In matlab under the k-means clustering for image classification be dealt with separately
matlab.rar
- 模糊聚类的图像分割,用matlab语言编写实现模糊聚类的图象分割。,Fuzzy clustering image segmentation, matlab language used to achieve fuzzy clustering image segmentation.
FCMClust.rar
- FCM聚类，实现图像分割，可以将图像分成多类,FCM
mohujulei.rar
- matlab模糊聚类算法进行图像分割的源程序,matlab fuzzy clustering algorithm for image segmentation source code
FCM(1)
- 这是我们的数字图像处理的大作业，用模糊聚类的方法做的图像分割，希望对大家有用，谢谢！-This is our large digital image processing operations, with the fuzzy clustering method to do image segmentation, hope for all of us, thank you!
Ncut
- 自己写的Normalized Cut图像分割，聚类程序，程序非常清晰，花了很长时间调试。-Normalize Cut
kmeans
- 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
seed
- 一种图像分割算法—像素聚类区域成长法 此法从一个种子像素开始，通过如平均灰度、组织纹理及色彩等性质的判断，将具类似性质的像素纳入所考虑区域。-An image segmentation algorithm- clustering pixels regional growth law this method started from a seed pixel, through, such as average gray, organizations such as texture and co
julei
- \图像模式识别—VC++技术实现，杨淑莹编著，可实现图像聚类-Image Pattern Recognition-VC++ Technology, edited by杨淑莹, achievable image clustering
Kmeans
- 基于Kmeans算法的图像分割，一般Kmeans是数据挖掘中用来聚类的，本试验利用图像中的灰度值作为Kmeans算法的原始点，进行图像分割-Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for
a
- 图像分割 模糊聚类分割算法 通过MATLAB实现的C聚类分割算法，输入分割类别数。可以得到分割后的图像对比-Image segmentation algorithm based on fuzzy clustering partition
73462683ClusterImageSeg
- 模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
KFCMClust529
- 标准的模糊C聚类算法程序，做聚类图像处理的非常有用-the corresponding algorithms are called kernel fuzzy c-means (KFCM) and kernel possibilistic c-means (KPCM) algorithms. And some test results are given to illustrate the advantages of the proposed algorithms over
wenli
- 基于纹理的图像分割的Matlab源代码,应用小波和K均值聚类-matlab
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割，实验好，好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
点聚类
- 对图像中的检测点进行聚类，生成图像框，基于opencv(Clustering the image detection points to generate rect based on OpenCV)
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
K—均值聚类提取
- k均值聚类提取，适合学习。先将RGB图像转换到LAB空间，在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)