搜索资源列表
c-group
- 采用模式识别中的C聚类方法对图像中的道路进行识别-using pattern recognition of the C clustering image identification of the road
Adaptivemeanshiftbasedclusteringzip
- 一个均值漂移的VC++聚类源程序,可以试试聚类,其效果还不错.-mean a shift of VC cluster source, you can try clustering, the effect is not bad.
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
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
noseecluster
- 聚类分析技术有着广泛应用.因为在对图像进行聚类分析时,通常缺少可资利用的先验知识,所以需要采用无监督的聚类算法.为了适应图像检索的需要,提出了一种新型的无监督聚类方法,即根据离群点信息来自动确定聚类算法的终止时机.此方法还弥补了现有聚类算法在离群点识别、使用上的缺欠.为验证其可行性,用其改进了CURE和ROCK两个经典算法.实验表明,改进后的两个算法都能自动终止,并能取得优于以往的聚类效果. -clustering analysis techniques have wide applicatio
matlab_kjunzhi
- 基于matlab的图像K均值聚类算法程序 -Matlab-based Image K-means clustering algorithm procedures
KCluster
- 自己写K均值聚类Visual C++程序,可以运行-wrote K-means clustering Visual C program can run
VideoObjectSegmentation
- 时空联合的视频对象分割,时域采用多帧帧差,形态学处理和高斯聚类,空域采用小波变换和分水岭变换。时域分割的模板与空域分水岭变换的结果融合得到最终的分割结果。-joint space-time video segmentation, multi-domain when displayed poor handling and morphology Gaussian clustering, airspace wavelet transform and watershed transformation.
kcmfcm
- 进行kcm和fcm聚类分割图象的性能比较-kcm for clustering segmentation and image fcm Performance Comparison
Kmean_cluster
- 应用kmean均值聚类方法对RGB,HSR图像的分割算法,个人觉得自己变得还可以,希望大家借鉴。-application kmean means clustering method of RGB, neighborhood image segmentation algorithm, individuals feel that they can become the hope that you learn from.
gathers
- 图像处理技术中用于图像聚类的一段程序,即将区域中具有相同灰度或其他属性的区域提取出来。 -image processing technology for image clustering section of procedures, upcoming region with the same intensity or other attribute extraction from the region.
PCNNClustering
- 将脉冲耦合神经网络PCNN和聚类结合实现灰度图像分割-will PCNN PCNN combining clustering and gray image segmentation
198211220999juleisuanfa
- 这个聚类算法简单,实用。是处理图像聚类中一个不错的选择-the clustering algorithm is simple and practical. Image processing is clustering a bad choice
ga_improve_fcm
- 自己编写的基于直方图的遗传聚类算法,用于图象分割。-prepared based on their genetic histogram clustering algorithm for image segmentation.
SPy-0.3
- Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
clustering
- 一种新颖的聚类方法,能够很好的用于图象分割方面。
Clustering
- 使用聚类中K-平均算法,以颜色分量作为坐标参数,对景象图进行聚类分析,要求最后的分类结果将路标(可能包括少量相似区域)聚类为一个模式类别
clustering
- 聚类分析是对探测数据进行分类分析的一个工具,聚类分析的结果可以被用来对数据提出初始假设,分类新数据,测试数据的同类型及压缩数据。
kmeans
- Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.
K-均值聚类算法
- K-均值聚类算法,对数据进行聚类分析,可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve