搜索资源列表
image
- 基于纹理度量的图像分割，适用于遥感图像，利用到K-mean算法-texture measurement based on the image segmentation, applicable to remote sensing images, the use of K-mean algorithm
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.
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
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-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
kmeans1
- K-mean image segementation Choose cluster centers and point-cluster allocations to minimize error
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-meanAlgorithmforsegmentationofdigitalimage
- k-mean Algorithm for segmentation of digital image
proje
- applied k means clustering for vector quanta and used huffman for image compression matlab code
K-means_01022008
- k-mean image processing with c++builder
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.
code
- K mean algorithms for image implement in java
K-mean
- 用K均值聚类法对数据进行分类，比较简单和基础的分类方法，可用于图像处理-With the K-mean method for data classification, the classification of simple and basic method can be used for image processing
k-mean-clustering
- clustering an image to k clusters using k-mean clustering method
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)