搜索资源列表
PCA+FCM
- 利用PCA和模糊C均值相结合的方法实现图象的聚类
200707171151133491
- 一种基于模糊c均值聚类的彩色图像区域分割方法,该方法首先选用适合的彩色空间,然后利用c均值聚类的方法,最终实现图像分割
yiqunmoxingfege.rar
- 基于蚁群算法的模糊C均值聚类医学图像分割方法的研究,Ant colony algorithm based on Fuzzy C-Means Clustering Method for Medical Image Segmentation
imagesegmentation
- 模糊C-均值聚类算法,使用VC++与matlab 编程两种方法实现算法-Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways
FCM-C-mean-cluster-segment-[matlab]
- 模糊C均值聚类的matlab实现,模糊C均值聚类是一种利用模糊数学做的聚类方法,属于图像分割的一种。可利用聚类结果用于图像分析和识别。-FCM,C mean cluster segment [matlab].rar
test_FLICM
- FLICM一种基于模糊局部信息C均值聚类方法,是对传统FCM聚类方法的最近改进方法,具有更强的鲁棒性,效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering algorithm.
matFCMmatlab
- 用matlab实现的C均值模糊聚类方法,程序简单易懂,适合初学者学习以及中高级学者在编程时调用,真的非常好用!-Using matlab the C mean fuzzy clustering method, the program is simple to understand for beginners to learn, as well as senior scholars in the programming call, really easy to use!
FCM
- 此代码为模糊C均值聚类的图象分割算法的MATLAB实现(与kmeans方法有所不同)-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
FCM
- 在matlab开发环境中,使用模糊C均值聚类的方法对数据进行聚类-In the Matlab development environment, the use of fuzzy C-means clustering methods for data clustering
代码
- 模糊聚类方法的图像分割,即使用模糊C均值方法多次迭代产生聚类中心,分割图像(Image segmentation of FCM)
2b509aabc32f4a3be87b452a94226f45
- 结合模糊C均值聚类算法与水平集方法的图像分割代码,分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)