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Description: 利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two parts, the two values can be used as the source, K-means algorithm can be divided into images of arbitrary multi-part. Procedures used directly in R, G, B color as the characteristic parameters for the cluster center random value, of course, can also be used for other parameters, procedures EXE compiler to speed document acceptable, but there is still room for improvement, but the master of the time change, then please give me also made in the code.
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Size: 50271 |
Author: pbt |
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Description: 由bcb写的图象特效集合（GDI，非常快速）-This project is wrote by bcb,and it is a cluster of special effects of images.
Platform: |
Size: 6545 |
Author: zaza |
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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.
Platform: |
Size: 114137 |
Author: mecal |
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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.
Platform: |
Size: 23585 |
Author: 戚颖杰 |
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Description: 区域增长的算法实现: 1)根据图像的不同应用选择一个或一组种 子,它或者是最亮或最暗的点,或者是位 于点簇中心的点 2...通过像素集合的区域增长 算法实现: 区域A 区域B 种子像素增长.3)增长的规则 4)
结束条件.-regional growth algorithm : 1) According to the images chosen a different application or group of seeds, It is perhaps the most - or the most secret, or at the point of the cluster center point ... through two sets of pixels regional growth algorithm : A regional seed pixels B regional growth .3) growth rules 4) concluded conditions.
Platform: |
Size: 2074 |
Author: 蒋建军 |
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Description: 二维点集合聚类的图像化演示程序
用它可以很直观的看到聚类的整个过程-2D point set of images of the cluster demo program can use it directly to see the whole process of clustering
Platform: |
Size: 46251 |
Author: 谢树生 |
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Description: 关于图像聚类分析的程序。-images on cluster analysis procedures.
Platform: |
Size: 10692 |
Author: 刘新华 |
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Description: 关于图像聚类分析的程序。-images on cluster analysis procedures.
Platform: |
Size: 204800 |
Author: 刘新华 |
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Description: 利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two parts, the two values can be used as the source, K-means algorithm can be divided into images of arbitrary multi-part. Procedures used directly in R, G, B color as the characteristic parameters for the cluster center random value, of course, can also be used for other parameters, procedures EXE compiler to speed document acceptable, but there is still room for improvement, but the master of the time change, then please give me also made in the code.
Platform: |
Size: 50176 |
Author: pbt |
Hits:
Description: 由bcb写的图象特效集合（GDI，非常快速）-This project is wrote by bcb,and it is a cluster of special effects of images.
Platform: |
Size: 6144 |
Author: zaza |
Hits:
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.
Platform: |
Size: 113664 |
Author: mecal |
Hits:
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.
Platform: |
Size: 23552 |
Author: 戚颖杰 |
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Description: 区域增长的算法实现: 1)根据图像的不同应用选择一个或一组种 子,它或者是最亮或最暗的点,或者是位 于点簇中心的点 2...通过像素集合的区域增长 算法实现: 区域A 区域B 种子像素增长.3)增长的规则 4)
结束条件.-regional growth algorithm : 1) According to the images chosen a different application or group of seeds, It is perhaps the most- or the most secret, or at the point of the cluster center point ... through two sets of pixels regional growth algorithm : A regional seed pixels B regional growth .3) growth rules 4) concluded conditions.
Platform: |
Size: 2048 |
Author: 蒋建军 |
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Description: 二维点集合聚类的图像化演示程序
用它可以很直观的看到聚类的整个过程-2D point set of images of the cluster demo program can use it directly to see the whole process of clustering
Platform: |
Size: 2042880 |
Author: 谢树生 |
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Description: 根据图像四个方向的共发矩阵，求取四个灰度共发矩阵的熵，求熵的均值生成特征矩阵，通过聚类分析实现图像的纹理分割。-In accordance with the direction of a total of four images fat matrix, to strike a total of four gray hair matrix entropy, and entropy generation characteristics of the mean matrix, through cluster analysis of the realization of image texture segmentation.
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Size: 2048 |
Author: 杜冰 |
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Description: 用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割-For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition
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Size: 419840 |
Author: xxl |
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Description: 对真彩色图像进行灰度转换，并实现了Otus最大类间方差阈值处理。-True Color images of gray-scale conversion, and realize the maximum between-cluster variance Otus threshold treatment.
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Size: 427008 |
Author: |
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Description: 图像聚类程序源码，运行正常，能实现数字图像、图形的聚类；同时，还采用了多种方法实现，有距离法，神经网络法等，值得参考-Image source clustering procedures, operating normally, to achieve digital images, graphics cluster At the same time, also adopted a number of ways to achieve, a far cry from the law, such as neural network, it is also useful
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Size: 225280 |
Author: 陈艳平 |
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Description: 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 number of the largest.
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Size: 2048 |
Author: zzd |
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Description: 在CIEL*a*b*空间，
根据前面得出的图像分割的个数利用模糊聚类(FCM)对图像进行聚类，将得到的聚
类中心与从标准色卡中提出的绿色对应的L*、a*、b*的参考值进行比较，与其最接
近的类即为要提取的绿色作物目标
-Using fuzzy clustering (FCM) in CIEL* a* b* space, the number of the previously derived image segmentation image clustering, the cluster center will be raised from the standard color card corresponding to green L*, a*, b* of the reference values are compared, their closest classes is to be extracted green crops target
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Size: 6521856 |
Author: 韩子晨 |
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