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- 西电 电子工程学院 智能科学与技术 DSP智能平台实验 C语言程序代码 K-means 图像分割-West Electronics Engineering, Science and Technology, Intelligent Intelligent DSP experimental platform C language code K-means image segmentation
kmeans
- 运用k-means算法对图像进行分割处理。-Using k-means algorithm for image segmentation process.
Kmeans
- 《视觉机器学习20讲配套仿真代码》——1、K-means学习-" Vision Machine Learning Lecture 20 supporting the simulation code" 1, K-means learning
KmeansPP
- 使用K-means聚类算法的改进算法K-means++对图像区域进行分割。-using the improved algorithm K-means++ segment image.
kmeansForImage
- k-means算法对一副图像进行聚类分析。-k-means cluster
kmeans
- 对遥感图像进行分类，使用k均值算法,对Indian_pines数据进行分类-Remote sensing image classification, using the k-means algorithm
Kmeans
- K-means聚类函数，训练，多维特征，纯C语言实现。-K- means clustering function, training, multidimensional characteristics, pure C language implementation.
BOVW_Class_DEMO
- Matlab实现BOVW模型，特征提取采用SIFT算法，字典学习采用k-means聚类学习，数据集采用UCM21类分类信息-Matlab achieve BOVW model, feature extraction algorithm using SIFT, dictionary learning using k-means clustering, data collection using UCM21 class category
AP
- AP聚类算法是基于数据点间的 信息传递 的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的 examplars 即聚类中心点是数据集合中实际存在的点，作为每类的代表-AP clustering algorithm is based on the information transfer between data points of a clustering algorithm. K- and k-means algorithm
KMeans
- k均值聚类，有聚类数目，聚类中心，实现有效聚类。-k-means clustering, there is the number of clusters, cluster centers achieve effective clustering.
MRIxiaonaonaogan
- 从脑部MRI图像中提取小脑和脑干，分别采用k均值聚类算法，阈值分割，形态学操作，分水岭算法，区域合并-Brainstem and cerebellum extracts the brain MRI images were used to k-means clustering algorithm, thresholding, morphological operations, watershed algorithm, region merging, etc.
MRIzuoyounaobanqiu
- 从脑部MRI图像中提取左右脑半球，分别采用k均值聚类算法，阈值分割，形态学操作，分水岭算法，区域合并-Extracted the brain MRI image left and right brain hemispheres, respectively k-means clustering algorithm, thresholding, morphological operations, watershed algorithm, region merging, etc.
KMeans
- k均值分类在遥感影像中的应用，完整的c++代码-k-means classification in remote sensing images in the application
k_means
- k均值聚类 是一种最基础的聚类方法，就是把看起来最集中，最不分散得到标签分配到输入训练样本中去，求局部最优解。-k-means clustering is one of the most basic clustering method is to look the most concentrated, most non-dispersible label assigned to obtain input to the training sample, find local optima.
gabor_main
- 纹理图像的分割，使用k-means分割，代码主要介绍了特征的提取，具体的参数设定-Texture image segmentation, the use of k-means segmentation, the code describes the feature extraction, the specific parameter settings
kmeans
- k均值聚类分割算法的matlab代码，初学者使用-k-means clusterings
ImageRetrieval
- ImageRetri （C++_毕业设计） sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持-ImageRetri Color histogram, gray matrix, HU invariant moment, edge direction histogram, retri method using K-means and K-D tree two, need OPENCV support (C++ _ gradu
kmean
- K均值分类代码，遥感图像处理采用K均值分类的方法自动进行图像分类。-K-means classification code, remote sensing image classification method using K-means automatic image classification.
K_means
- K-Means算法是一种 cluster analysis 的算法，其主要是来计算数据聚集的算法，主要通过不断地取离种子点最近均值的算法-K-Means cluster analysis
videoextract
- 两种方法实现镜头边界提取，并附上K-means代码-Two means to achieve video boundry extract,and the K-means.