搜索资源列表
KMEANS(matlab)
- Matlab环境下的k-means聚类算法,实现图像分割,很快阿!-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
IRIS数据
- IRIS数据 用于聚类方法 主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
HistHsfcm2
- 直方图模糊聚类算法,编译环境VC6.0,语言c,可以移植到到linux系统运行。算法功能图像分割-histogram fuzzy clustering algorithms, compiler environment VC6.0, language c, ported to Linux operating system. Functional image segmentation algorithm
colorseg
- 利用matlab实现彩色图像的分割。算法主要是利用聚类算法。-using Matlab color image segmentation. This algorithm is to use clustering algorithm.
asdfafsdfe2
- 基于遗传聚类的彩色图像分割,用caj 打开,很好的毕业论文-based on genetic clustering color image segmentation, PRODUCTS opened with a good thesis
DominantSets
- Dominant-set聚类算法,主要用于图像分割,检索等-Dominant-set clustering algorithm, mainly for image segmentation, search
MSC
- Multiclass Spectral Clustering Algorithm,和Dominant-set算法同属于较常用的聚类算法,用于图像分割等-Multiclass Spectral Clustering Algorith m, and Dominant-set algorithm is more commonly used with the clustering algorithm for image segmentation, etc.
Fuzzy-k-means
- 模糊核聚类及几篇文章,用于数据和图像的模糊聚类分割,效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK
waveletxiaoyu50052
- 自己编的使用小波实现的纹理图像分割,具体过程是先对图像进行三级小波分解,每级都对系数聚类并指导下一级分类,分割效果较好~ -own addendum to the use of wavelet achieve the texture image segmentation, specific process is the first image wavelet decomposition three each of the levels are right and clustering coe
k_mean
- 主要实现对于图像内容的K均值聚类算法,以达到分割的目的-main image content for the K-means clustering algorithm to achieve the purpose of segmentation
dfdgg
- 图象处理源代码集 图像分割是图像处理、模式识别、计算机视觉等领域中极为重要的内容之一,是实现自动图像分析时首先需要完成的操作。它是根据图像的某些特征或特征集合的相似性准则,对图像像素进行分组聚类,把图像平面划分为一系列有意义的区域,使其后的图像分析及识别等高级处理阶段所要处理的数据量大大减少,同时又保留有关图像结构特征的信息。由于分割中出现的误差会传播至高层次处理阶段,因此分割的精确程度是至关重要的。-image processing source code is a set image s
Grap_image_segment
- 这是一个用一种改进的谱聚类方法实现图像分割的车程序-with an improved spectral clustering method of image segmentation vehicle
julei_segmention
- 主要有图像的聚类分割和Ncut算法的彩色图像分割,对于新人有着很好的效果-There are clustering image segmentation algorithm and Ncut color image segmentation, it has a good effect for newcomers
ae602a9c136a
- 均值漂移图像分割测试程序,使用meanshift算法对彩色图像进行聚类分割,效果很好,并且显示使用时间、RGB与LUV颜色空间的互相转换(Mean shift image segmentation test procedures, the use of meanshift algorithm for color images clustering segmentation, the effect is very good, and show the use of time, find the c
K-means
- 使用k-means算法对图像进行分割,并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
simple linear iterative clustering for matlab
- 超像素图像分割方法,简单线性迭代聚类,用于自然影像/遥感影像分割等(superpixel image segmentation, simple linear iterative clustering)
1
- 该方法采用gabor提取出图像纹理特征,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)
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.)
lsc_matlab
- 本程序演示了以下论文中提出的LSC超像素分割方法: 陈建生,李正琴,黄波,线性光谱聚类超像素,IEEE图像处理学报,第26卷,第7期,3317-3330页,2017. 李正琴,陈建生,利用线性光谱聚类的超像素分割,IEEE计算机视觉与模式识别会议,2015年6月。 2017年6月20日(This program demonstrates the LSC superpixel segmentation method proposed in the following pa
MRI_Brain_Scan
- 使用SVM和聚类分割的方式实现MRI图像中的脑瘤分割(Brain Tumor Segmentation in MRI Images Using SVM and Cluster Segmentation)