Description: 模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK Platform: |
Size: 1381338 |
Author:张莉 |
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Description: 模糊核聚类及几篇文章，用于数据和图像的模糊聚类分割，效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK Platform: |
Size: 1381376 |
Author:张莉 |
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Description: 利用模糊聚类的方法对图像分割，效果不错，就是速度慢得很-fuzzy clustering method of image segmentation, good results, the speed is very slow Platform: |
Size: 403456 |
Author:gggg |
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Description: 一个基于模糊阈值的图象分割,是基于MATLAB编程的,希望对大家有所帮助!-a threshold based on the fuzzy image segmentation is based on MATLAB programming, we want to help! Platform: |
Size: 2629632 |
Author:姚庆杏 |
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Description: 基于二维直方图的图像模糊聚类分割方法，内有算法的参考论文。-Two-dimensional histogram based on fuzzy clustering image segmentation algorithm, which algorithm has the reference papers. Platform: |
Size: 212992 |
Author:方方 |
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Description: 直方图自适应模糊分割算法，基于图像直方图统计信息的模糊分割算法，算法简单，速度快-Histogram adaptive fuzzy segmentation algorithm, based on image histogram statistics of the fuzzy segmentation algorithm, algorithm is simple, fast Platform: |
Size: 1024 |
Author:刘炎 |
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Description: 利用java编写的模糊C均值聚类算法，可以用来图像无监督聚类及图像分割等。-Using java prepared Fuzzy C-means clustering algorithm, can be used to image non-supervised clustering and image segmentation and so on. Platform: |
Size: 4096 |
Author:huangyu |
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Description: 利用java写的快速模糊C均值算法，用与图像分割，聚类等领域。-Using java to write fast fuzzy C-means algorithm using image segmentation, clustering and other fields. Platform: |
Size: 3072 |
Author:huangyu |
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Description: 图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值-Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans Platform: |
Size: 2095104 |
Author:小牛 |
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Description: Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial neighborhood information into the standard FCM clustering algorithm. Two improved implementations of the k-nearest neighbor (k-NN) algorithm are introduced for calculating the weight in the SWFCM algorithm so as to improve the performance of image thresholding. Platform: |
Size: 293888 |
Author:silviudog |
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Description: K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm Platform: |
Size: 46080 |
Author:renli |
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Description: A modified fuzzy c-means image segmentation algorithm for use with uneven illumination patterns and implemention by matlab Platform: |
Size: 153600 |
Author:hamedvahedian |
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Search - Image Segmentation fuzzy