搜索资源列表
FCM
- 利用模糊C聚类(FCM)的方法对彩色图像进行分割,期中可以用不通的特征向量来表征图像的特征(The method of fuzzy C clustering (FCM) is used to segment the color image. In the period of time, the feature vectors can be used to characterize the features of the image.)
GMM
- 实现了EM算法对高斯混合模型进行聚类,并将聚类结果用图像展示出来,希望对混合模型的朋友有用。(The EM algorithm is implemented to cluster the Gauss mixture model, and the clustering results are displayed with images, hoping to be useful to friends of the mixed models.)
快速K-均值(kmeans)聚类图像分割算法源代码
- 本算法Kmeans可以用于非监督分类学习,用于图像处理、模式识别分类(The algorithm Kmeans can be used for unsupervised classification learning, for image processing, pattern recognition and classification.)
第一部分算法程序改后
- 聚类分割实现的MRI图像分割,效果还算可以,硕士算法是在这个基础上改进的。(The MRI image segmentation achieved by clustering segmentation is acceptable. The master algorithm is improved on this basis.)
1、K-means学习
- 用k-meas算法对图片聚类,根据图像的颜色,聚类成若干类(Using k-means algorithom to clustering a picture)
kmeans
- 使用kmeans算法实现了彩色图像的颜色聚类(Color image clustering)
87361043sparse-subspace-clustering
- SSC经典的稀疏子空间聚类算法,matlab代码,可用于图像分割,图像识别等(SSC based matlab,can be used for image segmentation,image recognization and so on)
kmeans图像分类
- 利用简单kmeans聚类算法,对不同图片进行分类,图片内容包括人像,风景,建筑,动物,植物等,平台是matlab。(The simple k - means clustering algorithm is used to classify different pictures. the picture content includes portrait, scenery, architecture, objects, plants, etc. The platform is MATLAB.)
基于 K-means 聚类算法的图像区域分割
- 本程序使用matlab软件,实现了基于K-means聚类算法的图像分割。(Image split based on K-means was done by using Matlab.)
tvnpv
- 用于特征降维,特征融合,相关分析等,包括AHP,因子分析,回归分析,聚类分析,粒子图像分割及匹配均为自行编制的子例程。( For feature reduction, feature fusion, correlation analysis, Including AHP, factor analysis, regression analysis, cluster analysis, Particle image segmentation and matching subroutines them
FLICM_Matlab
- 利用FLICM算法进行图像聚类的matlab程序代码,相对于FCM(模糊C均值聚类)算法具有较强的抗噪能力。(FLICM image clustering algorithm matlab code, with respect to FCM algorithm (Fuzzy C-means Clustering) it has a strong anti-noise ability.)
image_segmentation
- 使用k-means聚类实现多光谱图像分割,并配有高维视图查看聚类结果(Clustering algorithm for multispectral image segmentation)
puju(yiwei)
- 使用谱聚类算法进行图像分割,提取目标区域(pujulei algorithm used to image cut)
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.)
som
- 随机产生5类二维坐标系中的数,使用SOM网络进行无监督聚类,将产生的随机数自动聚成五类,并将结果用图像直接显示出来,生成训练好的网络权值(Five kinds of random numbers in two-dimensional coordinate system are generated randomly, and unsupervised clustering is carried out using SOM network. The random numbers generated
meanshift_filter
- 利用meanshift算法对图像进行滤波。meanshift可用于滤波、追踪、聚类、分割等(The image is filtered by means of shift algorithm. Meannshit can be used for filtering, tracking, clustering, segmentation, etc.)
automatic_image_segement
- 本文以k-means算法为背景,引入信息熵相关知识,从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时,会发生一定的过拟合现象,导致我们得不到预期的聚类数目。本文设计合理的合并准则,令模型简化,有效地消除过拟合现象,使得最后得到的聚类数目与预期符合。,设计合理的准则改进了图像的全自动分割方法,使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy
Hand-gesture-recognition--master.zip
- 关于图像关键帧提取的源代码,利用图像熵和密度聚类算法提取
fcm
- 一种快速的抗噪声模糊C均值图像分割算法 图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出。该算法结合像素灰度值相似度和隶属度构造了一个新的空间函数。该空间函数用于更新成员关系,而成员关系又用于迭代地获取聚类中心。所提出的算法可以在较少的迭代次数下获得理想的分割结果,有效地降低了噪声的影响。(A fast anti noise Fuzzy C-Means Image Segmentation AlgorithmImage segmentation is to divide the i
FCM实现图像分割
- 用FCM算法实现了图像分割,效果较好,可以更改聚类数目(FCM algorithm is used to realize image segmentation. The result is good, and the number of clusters can be changed)