搜索资源列表
matlab
- 模糊核聚类图像分割，有很好的实例和码源，值得大家学习。-Fuzzy kernel clustering image segmentation, a very good examples and source code, worth learning.
lbpfcmtest-
- 模糊聚类图像分割，是图像处理方面的，对于图像初学者很有帮助。-Fuzzy clustering, image segmentation is image processing, image for beginners helpful.
FCM
- 模糊聚类程序，可以很好地用于无噪图像的图像分割。-Fuzzy clustering procedure can be well used for noiseless image segmentation.
medical-image-segmentation
- 本程序为M文件，运行环境为matlab, 也可通过matlab转化为C++运行。实现功能：可实现医学图像的自动分割！-Fuzzy Clustering Algorithm for Medical Image Segmentation
pso_fcm
- 基于粒子群模糊聚类算法，相比传统聚类算法，效果好很多-Fuzzy clustering based on particle swarm algorithm, compared with the traditional clustering algorithm, the effect is much better
BBSD
- 基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。-region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fu
FCM
- 基于自适应迷糊C-聚类的图像分割 有一些瑕疵，自适应部分的代码可能有以下问题-Adaptive image segmentation based on fuzzy clustering C- have some flaws, the adaptive part of the code may have the following questions
FMC
- 模糊C均值聚类，比较适合初学者，聚类数目可自行调整-Fuzzy C-means clustering, more suitable for beginners, please support
mat
- 文件中包含了使用模糊C-均值实现聚类分割的算法原理以及MAtlab源程序,程序运行效果不错，也有注释-File contains the use of fuzzy C- mean clustering algorithm to achieve the principle of clustering and MAtlab source code, the program runs well, there are comments
2
- vc++开发的图像分类，包括聚类分析，模糊聚类，遗传算法聚类等-vc++ Developed image classification, including cluster analysis, fuzzy clustering, genetic
FCM
- FCM+KFCM模糊C均值聚类分析算法matlab代码，有界面，有图片，运行正常-FCM+KFCM fuzzy C mean clustering algorithm ，matlab code, there are interfaces, pictures, running normal
cerqorm
- 利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很-By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow
图像模糊聚类
- 图像模糊聚类，借用水平集的方法实现图像模糊聚类(Image fuzzy clustering)
Fuzzrinmealenc
- Fuzzy c-means (FCM) clustering has been widely used in image segmentation. However, in spite of its computational efficiency and wide-spread prevalence, the FCM algorithm does not take the spatial information of pixels into consideration, and hence m
模糊C均值算法
- 亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
2.2 图像分割技术
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。(The FCM algorithm is a partition-based clustering algorithm. Its idea is to make the similarity among the obj
用FCM实现分割
- 基于模糊C-均值聚类算法的图像分割，消除二值分割的非此即彼的缺陷(Image segmentation based on fuzzy C- means clustering algorithm eliminates the defects of two value segmentation.)
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.)