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RandotCls
- 程序按照随即生成若干个点作为点坐标 ，根据欧式距离 进行聚类分析 ，图像处理对象是灰度值，这里是用随即生成的点做例子 展示，这个程序有界面！-Procedures in accordance with the randomly generated a number of points as the point coordinates, cluster analysis based on Euclidean distance, the image processing is the gray va
kmeansClusters
- 一种图像的均值聚类算法，输入的是一幅三维图像，每个像素点对应彩色空间。-An image-means clustering algorithm, the input is a three-dimensional image, each pixel corresponds to the color space.
Cluster
- 实现了随机点生成、C均值聚类、ISODATA聚类算法，简单易懂-Random point generation C-means clustering, ISODATA clustering algorithm, straightforward
region
- 使用聚类法实现区域分割，鼠标点击选择种子点，有多种阈值的比较-Clustering method to achieve the region segmentation, the mouse click to select seed point threshold comparison
secai
- 简单的K均值聚类法，本文中选用了5个聚类中心点，具体的聚类中心个数可以参考灰度直方图来选取-Simple K-means clustering method, this paper has selected five cluster center, the specific number of cluster centers can refer to the histogram to select
matlab-k-means
- 用k-means方法对肝脏图片聚五类，点击顺序为，肝，其它脏器，脂肪，骨骼，背景。-Using k-means approach to liver poly five pictures, click on the order of, liver, other organs, fat, bone, background.
center_detection
- 本人刚刚做的数学建模比赛题目和求解程序，是图像中的“交叉点”检测问题。先是对图像去噪去模糊光照均匀后再二值化，然后利用角点检测方法得到图像中的角点，最后聚类分析，剔除不合格角点，最终得到交叉点的坐标。-I just do mathematical modeling and solving program title game, is the image of the "crossover point" detection. First, go to blur the image de-noisi
isodataPro
- 此程序为ISODATA聚类算法的改进，主要是优化了其初始化，其初始化为两类，一类质心为极值最大点，另一类质心为离该质心最远的质心-This procedure is a clustering algorithm for the ISODATA , The original method is improved by the initialization . let a maximum point as the center of the first class,and let the c
AntColonyClustering
- 基于蚁群聚类的图像分割方法。把聚类中心看做食物源，蚂蚁根据分泌的信息素寻找图像边缘点。-Image segmentation method based on ant colony clustering. The cluster centers seen as a food source, ants secrete pheromones to find based on the image edge points.
fcmMATLAB
- 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me
1K_means
- 用K-means算法将点进行聚类，点以结构体的形式表示，opencv+vs2010跑通。-By K-means clustering algorithm point, the point structure in the form of representation, opencv+ vs2010 run through.
1EMalgorithm
- 利用期望最大化聚类算法，从txt文件中读如200+个点的坐标，并将这些点尽心聚类。开发环境为opencv+vs2010-Expectation Maximization clustering algorithm, txt file read coordinates 200+ points, and these points dedicated cluster. opencv+ vs2010
Bag-of-visual-words
- 将每一张图的特征点采样聚类成图片的视觉单词 即视觉单词,就是对应图片的代表 创建数据库,将每张图片的视觉单词入库,并建立索引-Will feature a map of each sampling point clustered into visual images of words that is visual words, is to represent the corresponding picture of the is created, the visual image of eac
slic
- SLIC聚类分割图像，包括转换颜色空间，迭代设置，迭代聚类，去坏点，网格化等处理-SLIC clustering image segmentation, including color space conversion, iterative set, iterative clustering, go bad, grid etc.
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
Slic
- SLIC主要运用K-means聚类算法进行超像素的处理，聚类算法中的距离度量不仅仅包括颜色空间的颜色距离还包括像素坐标的欧氏距离。所以K-means聚类的中心点由五维向量组成。其中包括，记录LAB颜色空间下的像素以及该像素点的XY坐标，由于XY坐标不能和颜色空间直接进行计算，所以添加了一个紧密度的参数。(slic superpixelSLIC mainly uses the K-means clustering algorithm for ultra pixel processing, the
MeanShift
- meanShift,均值漂移，在聚类、图像平滑、分割、跟踪等方面有着广泛的应用。一般是指一个迭代的步骤，即先算出当前点的偏移均值，然后以此为新的起始点，继续移动，直到满足一定的结束条件。(MeanShift, mean shift is widely used in clustering, image smoothing, segmentation, tracking and so on. Generally refers to an iterative step, that is, first
kmeans
- 基于windows平台和k-聚类算法，对平面点集进行聚类(Based on the windows platform and the k- clustering algorithm, the plane point set is clustered)
muuwcy
- 一个CURE聚类算法 应用了K中心点算法 采用空间坐标聚集()
PointClouds
- PCL库的C#封装，用于点云的处理，包括点云读取，显示，分割，分类，聚类等(C# wrapper of point cloud library.)