搜索资源列表
lankton_stereo.rar
- 较全的mean shift算法合集,有基于mean shift算法的图像平滑处理,图像分割,图像聚类,Than the entire collection of the mean shift algorithm, the mean shift algorithm based on image smoothing, image segmentation, image clustering
AP_Clustering
- AP聚类方法,是08年发表在“科学”上的聚类方法,本人从图像图像方面研究近十年,这是我所见过最好的聚类算法,本程序提供聚类演示,还把它用图像分割试验(matlab7.0环境调试)。-AP clustering method, is 08 published in " Science" on the clustering method, the image from the image in my research in recent years, this is the bes
11912900SpectralClustering
- 谱聚类算法进行图像分割,该算法应用MATLAB运行。-Spectral clustering algorithm for image segmentation, the algorithm is applied to run MATLAB.
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!
pc
- 利用相位一致性提取图像边缘,K-means聚类后区域生长进行图像分割,附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
NcutClustering
- 谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序,该方法能有效的用于数据分类。-This is a matlab procedures for the spectral clustering.The method is effective for data classification.
Cluster_MeanShift
- 采用meanshift算法实现图像聚类,函数用matlab实现-clustering using Mean-shift
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-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
imadeedgesegmentation
- 本程序实现了采用聚类法对图像进行分割,给出了图像分割前后的直方图,程序内有详细的程序说明和例图像-This program was realized using clustering method for image segmentation is presented, and the histogram image segmentation, procedure in detail program
kmeans
- 一种改进的均值聚类算法,能很好的利用与图像分割技术-k-means cluster
kfcm
- 基于核的FCM,可以用于聚类或者图像分割,但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
fenge
- 对图像进颜色空间分割,并进行聚类分析,代码简单,直接运行即可-clustering
gabork-means
- 该方法采用gabor提取纹理特征,最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
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
聚类算法
- 基于谱聚类和Kmeans算法的聚类分析,有效地将图像进行分块聚类MATLAB代码
Experiment Three
- matlab的聚类算法实现图像分割,效果很好(Image segmentation by clustering in matlab)
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.)
Matlabkmeans聚类分割GUI,分割聚类数可以输入
- 该课题为基于kmeans的聚类分割,输入一张彩色图像,可以选择需要分割成多少类,就会以不同颜色区分不同的块,带有GUI界面,操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished
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)