搜索资源列表
FCM(1)
- 这是我们的数字图像处理的大作业,用模糊聚类的方法做的图像分割,希望对大家有用,谢谢!-This is our large digital image processing operations, with the fuzzy clustering method to do image segmentation, hope for all of us, thank you!
NcutClustering
- 谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序,该方法能有效的用于数据分类。-This is a matlab procedures for the spectral clustering.The method is effective for data classification.
Ncut
- 自己写的Normalized Cut图像分割,聚类程序,程序非常清晰,花了很长时间调试。-Normalize Cut
seed
- 一种图像分割算法—像素聚类区域成长法 此法从一个种子像素开始,通过如平均灰度、组织纹理及色彩等性质的判断,将具类似性质的像素纳入所考虑区域。-An image segmentation algorithm- clustering pixels regional growth law this method started from a seed pixel, through, such as average gray, organizations such as texture and co
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- 图像分割 模糊聚类分割算法 通过MATLAB实现的C聚类分割算法,输入分割类别数。可以得到分割后的图像对比-Image segmentation algorithm based on fuzzy clustering partition
fcm
- 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.
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_mean
- 用matlab实现的c均值聚类算法,用于图像分割,分割效果很好-Matlab achieved with c-means clustering algorithm for image segmentation, segmentation well
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
FCMandKFCM
- 采用模糊聚类算法和加核模糊聚类算法进行医学图像的分割。采用matlab编程,界面处理较好。 -Using fuzzy clustering algorithm and processing of nuclear fuzzy clustering algorithm for medical image segmentation. Using matlab programming, interface, better handling.
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
Kmeans_grayimage
- 简单的灰度图像的K均值聚类分割,Matlab实现-gray image segmentation using K-means clustering by matlab.
aaa
- 是基于模糊聚类的图像分割算法 matlab代码
imadeedgesegmentation
- 本程序实现了采用聚类法对图像进行分割,给出了图像分割前后的直方图,程序内有详细的程序说明和例图像-This program was realized using clustering method for image segmentation is presented, and the histogram image segmentation, procedure in detail program
ZPclustering
- 用于图像分割的自调整普聚类算法,可实现大多数图像的无监督分割-Self-tunning spectral clustering for image segmentation
matlab_mohujulei
- matlab模糊聚类算法进行图像分割的源程序-tuxiangfenge
fenge
- 对图像进颜色空间分割,并进行聚类分析,代码简单,直接运行即可-clustering
gabork-means
- 该方法采用gabor提取纹理特征,最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
FCM-C-mean-cluster-segment-[matlab]
- 模糊C均值聚类的matlab实现,模糊C均值聚类是一种利用模糊数学做的聚类方法,属于图像分割的一种。可利用聚类结果用于图像分析和识别。-FCM,C mean cluster segment [matlab].rar
ZPclustering
- 实现点的聚类,并用做图像分割,来源是文章:Self-Tuning Spectral Clustering (作者: Lihi Zelnik-Manor, Pietro Perona )(point clustering and image segmentation, algorithm is from paper:Self-Tuning Spectral Clustering(author: Lihi Zelnik-Manor, Pietro Perona ))