Description: 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. Platform: |
Size: 5259264 |
Author:xuchen |
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Description: 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 Platform: |
Size: 515072 |
Author:小五子 |
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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. Platform: |
Size: 88064 |
Author:pengcheng |
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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 Platform: |
Size: 6521856 |
Author:韩子晨 |
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Description: 本文在阐述聚类分析方法的基础上重点研究FCM聚类算法。FCM算法是一种基于划分的聚类算法，它的思想是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。最后基于MATLAB实现了对图像信息的聚类。- This paper describes the basis of cluster analysis methods and focus on the FCM clustering algorithm. FCM algorithm is a clustering algorithm based on division and the idea is to make it to the same cluster is divided into the biggest similarity between the objects, while the minimum similarity between different clusters. Finally, I realize the implementation of image information of the cluster based on MATLAB. Platform: |
Size: 1024 |
Author:xinly |
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Description: Fuzzy clustering algorithms like the popular fuzzy c-means algorithm (FCM) are
frequently used to automatically divide up the data space into fuzzy granules. When the fuzzy clusters are used to derive membership functions for a fuzzy rule-based system,then the corresponding fuzzy sets should fulfill some requirements like boundedness of support or unimodality.(Problems may also arise in the case, when the fuzzy partition
induced by the clusters is intended as a basis for local function approximation. In this
case, a local model (function) is assigned to each cluster. Taking the fuzziness of the
partition into account, continuous transitions between the single local models can be
obtained easily.) Platform: |
Size: 629760 |
Author:song86
|
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Description: 实现模糊聚类算法（FCM）与马尔科夫随机场空间约束（MRF）的图像分割、SAR图像变化检测(Fuzzy Cluster Method and Markov Random Field for Image Segmentation or SAR Change Detection) Platform: |
Size: 5414912 |
Author:珊瑚海枫 |
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Description: 一种快速的抗噪声模糊C均值图像分割算法
图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出。该算法结合像素灰度值相似度和隶属度构造了一个新的空间函数。该空间函数用于更新成员关系，而成员关系又用于迭代地获取聚类中心。所提出的算法可以在较少的迭代次数下获得理想的分割结果，有效地降低了噪声的影响。(A fast anti noise Fuzzy C-Means Image Segmentation AlgorithmImage segmentation is to divide the image into several specific, unique areas and propose. In this algorithm, a new spatial function is constructed by combining the similarity and membership of pixel gray value. The spatial function is used to update the membership, and the membership is used to obtain the cluster center iteratively. The proposed algorithm can get ideal segmentation results with less iterations and effectively reduce the impact of noise.) Platform: |
Size: 294912 |
Author:李咿呀咿呀哟 |
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