搜索资源列表
Kmeans-MATLAB
- 该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
laplacian_eigen
- 拉普拉斯特征映射，采用热核构造权重，是一种基于流行学习的非线性降维技术，可用于图像分割提高聚类的性能-Laplacian Eigenmap is a kind of nonlinear dimensionality reduction technique which based on manifold study, it choose the weights W using the heat kernel and it can be used for image segmentation to
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
fcm2
- 基于改进的FCM聚类算法对图像进行分割，步骤清晰，有中文说明-FCM clustering algorithm based on improved image segmentation, clear steps, a Chinese descr iption
Ktuxiang
- 已调试好的基于K均值聚类的图像分割matlab实现，案例有灰度图像分割和真彩图像分割-failed to translate
K-seg
- 一种K值聚类算法，用来分割彩色图像，提取出目标物体-A K value of the clustering algorithm, used to separate the color image, extracting the target object
Texture_mosaic
- 利用聚类技术实现纹理图像分割,聚类方法为k_聚类-The use of clustering technology to achieve texture image segmentation, experimental use of texture features include: mean, standard deviation, energy and entropy
jlfx
- 聚类分割彩色图片-基于Matlab的彩色图像分割-聚类分析，经个人测试完全可用。-Clustering color image segmentation of color image segmentation based on Matlab- cluster analysis, the individual test completely available.
low-ranksc
- 低秩子空间聚类，用于图像分割聚类，能解决图像去噪等问题-Low rank subspace clustering
DSNew
- 图像分割聚类算法，可以自动决定最后得聚类数-Image segmentation clustering algorithm, you can automatically determine the final number of clusters
K均值聚类
- K均值聚类算法图像分割，最传统的一种分割方法(K mean clustering segmentation)
fcm
- fcm算法 可以实现较好的聚类效果，满足条件广泛，适用范围多，(fcmFCM algorithm can achieve better clustering results, to meet a wide range of conditions, the scope of application of many,)
ZPclustering
- 实现点的聚类，并用做图像分割，来源是文章：Self-Tuning Spectral Clustering (作者: Lihi Zelnik-Manor, Pietro Perona )(point clustering and image segmentation, algorithm is from paper:Self-Tuning Spectral Clustering(author: Lihi Zelnik-Manor, Pietro Perona ))
K均值聚类在基于OpenCV的图像分割中的应用
- 介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。(This paper introduces the segmentation of traditional image segmentation and K- mean clustering algorithm, then uses OpenCV function to implement it, and introduces the basic functions of
5
- 5基于快速谱聚类的图像分割算法 5 image segmentation algorithm based on fast spectral clustering(5 image segmentation algorithm based on fast spectral clustering)
k-means-image-segmentation-master
- k-means 聚类和分割的图像处理方法(k-means and segement image process)
fcm
- 基于聚类算法的图像分割M文件，利用FCM聚类算法(M image segmentation based on clustering algorithm, clustering algorithm using FCM)
kmeans2
- k-means聚类,用于文本的聚类，可以简单的聚类文本信息(kmeans use to classification txt ti is easy to use)
Experiment Three
- matlab的聚类算法实现图像分割,效果很好(Image segmentation by clustering in matlab)
ncut
- ncut在图像分割中的应用及实现（基于谱聚类的理论）(Application and implementation of NCUT in image segmentation)