搜索资源列表
k-mean
- k-均值算法 做的图象分割实例 （将图片像素聚成三类）
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
textureseg
- 用多尺度Gabor小波滤波器组实现纹理分割，其中聚类算法采用K均值聚类，本科毕业设计，省优秀-multi-scale Gabor wavelet，texture segmentation，k-mean clustering
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
K-Mean
- 遥感影像K均值分类算法，针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
K-MEANS
- 基于K-MEAN的图像分割,方便实用，对于图像处理的研究生很有参考价值的-watershed segmentation on matlab
123456789K_Average
- K均值算法的matlab代码，使用起来很简单，对于模式识别的效果也很好，初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
juleiseg
- 基于matlab的彩色图像分割，利用k聚类算法-Matlab-based color image segmentation, clustering algorithm using k
109201305K
- K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
kMeans
- k-mean image clustering source code developed using java
SimpleRegionGrowing
- usefull k-mean algorithm developed for image clustering using java
kmeansClusters
- Image segmentation k mean clustering
K-means.m
- K-mean均值算法的matlab功能实现-K-means to achieve the matlab function
Img2
- VC++开发的基本图象处理程序，包括分割，滤波，K均值分割，骨架提取，形态学方法，Hough变换等。-VC++ development of the basic image processing procedures, including segmentation, filtering, K mean segmentation, skeleton extraction, morphological methods, Hough transform and so on.
K-mean
- 基于纹理度量的图像分割，适用于遥感图像，主要利用到K-mean算法。-Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.
k-mean-usage
- k均值的用法示例，它的数据生成部分可用于其它机器学习程序-A example of k mean usage
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)
K-mean
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
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
K-means
- 对图像用k-means算法进行处理，得到效果更好的图像(Processing the image with k-means algorithm)