搜索资源列表
meanks
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is to use k-means clustering algorithms partition a gray image.
Kmeans
- 基于Kmeans算法的图像分割，一般Kmeans是数据挖掘中用来聚类的，本试验利用图像中的灰度值作为Kmeans算法的原始点，进行图像分割-Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for
julei
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
MSClustering
- 使用MeanShift进行分割聚类的代码~-The use of segmentation MeanShift clustering code ~
colorSignature
- 用openCV提取图片的象素值，用聚类进行分割，找出各个聚类的中心点，聚类个数是动态决定的，可重新设置个数最大上限。-OpenCV extract images using pixel value segmentation by clustering to identify the center of each cluster, clustering is a dynamic number of decisions can be re-set the upper limit of the num
QVCS-Enterprise2.1.11
- 图像数据的模糊聚类分析，图像识别、图像分割，包含FCM算法。-Image data of the fuzzy cluster analysis, image recognition, image segmentation, including the FCM algorithm.
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
51622445texturepinyuA2
- K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain
73462683ClusterImageSeg
- 模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
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
Imagesbasedongeneticalgorithmresearchcut
- 在图像分割中，运用遗传聚类算法实现图像分割并讨论分割结果-In image segmentation, the use of genetic clustering algorithm to achieve image segmentation and discuss the results of Segmentation
pdftoword_setup(1ad)
- 居于模糊聚类的图像分割算法实现，用MATLAB实现。-image segemention base of fcm，using MATLAB
loc_im_MSfilter
- 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理。-Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
C__julei
- 一种非常实用的C均值聚类算法，可以用于数据挖掘、图像分割等领域-A very useful C-means clustering algorithm can be used for data mining, image segmentation and other areas of
mean_shift
- Mean-shift聚类算法详细介绍，里面有丰富的图片和图形-Mean-shift clustering algorithm detail, which is rich in pictures and graphics
mhsx
- 聚类分析，层次聚类法。样品聚类的最优分割应用程序开发 -Optimal Partition Application Development for Sample Cluster
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割，实验好，好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
imgkmeans
- 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
Kjl
- 这是K均值聚类算法 对图像颜色进行聚类 然后对图像分割源代码-This is the K-means clustering algorithm for image clustering and then color image segmentation source code
matlab
- matlab编写的纹理图像分割gussian滤波后k-means聚类并将不同区域用线条表示出来除m程序还包括测试图片-matlab prepared texture image segmentation gussian filtered k-means clustering will be expressed in different regions of the use of lines, inter m program also includes test pictures