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Description: 关于图像处理的聚类软件及源代码，大家多参考一下吧-on Image Processing Cluster software and source code, everyone should take a look it
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Size: 63214 |
Author: 李慧 |
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Description: 图像集群（Image Clustering）
(1)图像读入，显示图像所在路径；
(2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群；
(3)运行后，在原图像上显示集群灰度图；
(4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image -- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map.
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Size: 114137 |
Author: mecal |
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Description: 一种数据聚类算法的源码，可以在模式识别和图像处理中试用。
-a data clustering algorithm source code, in pattern recognition and image processing trial.
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Size: 472701 |
Author: 刘中华 |
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Description: 盢堵フ紇钩Image
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Size: 1024 |
Author: 罼骧朢 |
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Description: 用水平集方法进行细胞图像的分割大家可以看看写的有点简单-level set method using cell image segmentation we can see a little bit simpler to write
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Size: 34816 |
Author: 发发放 |
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Description: 关于图像处理的聚类软件及源代码，大家多参考一下吧-on Image Processing Cluster software and source code, everyone should take a look it
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Size: 63488 |
Author: 李慧 |
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Description: 是关于图像聚类与检索的简单实现的一个算法-image of the cluster and retrieval of a simple algorithm to achieve
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Size: 40960 |
Author: 叶婧 |
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Description: 聚类分析是将集合中的数据按其相似性大小分成不同类别的一种方法,它是模式
识别中多变量无监督学习的一个分支,己成功地用于医学,地质,财务,工程,图像
处理和文档等的数据分类中；含有实现此算法的源码
-cluster analysis is to pool the data according to similar size into a different category, It is pattern recognition multivariable Unsupervised Learning of a branch, has successfully used in medical, geological, financial, engineering, Document image processing and the data classification; with the realization of this algorithm source code
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Size: 7168 |
Author: 牛牛 |
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Description: 图像集群（Image Clustering）
(1)图像读入，显示图像所在路径；
(2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群；
(3)运行后，在原图像上显示集群灰度图；
(4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image-- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map.
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Size: 113664 |
Author: mecal |
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Description: 这是N-Cut算法的matlab程序，可用于图像分割等-This is the N-Cut algorithm Matlab procedures can be used for image segmentation, etc.
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Size: 47104 |
Author: maggie |
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Description: 提出了一种新颖的处理图像视觉聚类问题的方法。与以往关注图像局部特征和局部连续性的方法不同，本文中的方法能够提取关于图像的全局印象。为此，我们将图像分割问题转化为图划分问题并提出了划分中的一种全局判别准则——Ncut (Normalized Cut)。Ncut不仅能够衡量不同聚类之间的相异程度，还能够衡量各聚类内部的相似程度。为求解Ncut 的最优化问题，提出了一种基于广义特征值问题的高效算法，并将此算法应用于静态图像分割，取得了良好的效果。-proposed a novel image processing visual clustering problem. Concerned with the past, image characteristics and continuity of the partial difference in the way this method can extract images on the overall impression. To this end, We will image segmentation into the map division and the division of a global criterion-- Ncut ( Normalized Cut). Ncut different not only to measure the difference between the cluster level, but also to measure the internal cluster degree of similarity. Ncut to solve the optimization problem, based on a generalized eigenvalue problem of efficient algorithms, this algorithm will be applied to the static image segmentation, and achieved good results.
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Size: 23552 |
Author: 戚颖杰 |
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Description: 图象处理源代码集
图像分割是图像处理、模式识别、计算机视觉等领域中极为重要的内容之一，是实现自动图像分析时首先需要完成的操作。它是根据图像的某些特征或特征集合的相似性准则，对图像像素进行分组聚类，把图像平面划分为一系列有意义的区域，使其后的图像分析及识别等高级处理阶段所要处理的数据量大大减少，同时又保留有关图像结构特征的信息。由于分割中出现的误差会传播至高层次处理阶段，因此分割的精确程度是至关重要的。-image processing source code is a set image segmentation image processing, pattern recognition, Computer Vision and other areas extremely important one is to achieve automatic image analysis first need to complete the operation. It is based on the image of certain features or characteristics similar set of criteria, the image pixels for a cluster, the image plane is divided into a series of meaningful regional, enable subsequent image analysis and identification of high-processing stage to deal with the volume of data greatly reduced. while retaining the structural characteristics of the image information. As segmentation of error would spread to high-level processing stage, the exact extent of segmentation is critical.
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Size: 803840 |
Author: guoxiaoyong |
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Description: 用ＶＩＳＵＡＬC++编写的聚类分析程序,图像识别.(各种算法),具有非常大的价值.-VISUALC using cluster analysis prepared by the procedures, image recognition. (Algorithms). It is of great value.
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Size: 1650688 |
Author: 何义华 |
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Description: 一种数据聚类算法的源码，可以在模式识别和图像处理中试用。
-a data clustering algorithm source code, in pattern recognition and image processing trial.
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Size: 472064 |
Author: 刘中华 |
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Description: 聚类问题的matlab程序,聚类问题在图像处理中有着广泛的应用-Clustering problem matlab procedures, clustering problem in image processing has a broad application
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Size: 1024 |
Author: luozhenbao |
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Description: 在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类，遗传算法聚类分析，层次聚类和动态聚类等算法。可以运行，并有分类的源文件。是不错的研究素材。-In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clustering and dynamic clustering algorithm, etc.. Can run, and the classification of the source file. Is a good study material.
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Size: 229376 |
Author: dd |
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Description: 利用VB来实现的模糊聚类分析，形象而且易懂。-The use of VB to achieve the fuzzy cluster analysis, image and easy to understand.
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Size: 88064 |
Author: pengcheng |
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Description: use the k-means algorithm to cluster pixels into a number of clusters representing the texture regions.
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Size: 2048 |
Author: yashar |
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Description: Cluster data for image processing
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Size: 2048 |
Author: Joe |
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Description: K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the cluster by some criteria (usually the principle of minimum distance) to the centers to the accumulation of a variety of samples, resulting in the initial classification, then determine the classification is reasonable, if unreasonable, to modify the classification, so repeatedly modified clustering iteration, until a reasonable date.
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Size: 54272 |
Author: wjj |
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