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Description: 一个基于粗糙集的K均值算法实现图像分割的DLL程序！可以用来处理8位的BMP图像！-a rough set based on the K-means algorithm for image segmentation procedures DLL! Can be used to deal with eight of BMP images!
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Size: 43115 |
Author: 徐敏 |
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Description: 一个基于粗糙集的K均值算法实现图像分割的DLL程序！可以用来处理8位的BMP图像！-a rough set based on the K-means algorithm for image segmentation procedures DLL! Can be used to deal with eight of BMP images!
Platform: |
Size: 43008 |
Author: 徐敏 |
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Description: 基于粗糙熵和K-均值聚类算法的图像分割 -Based on Rough Entropy and K-means clustering algorithm for image segmentation
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Size: 259072 |
Author: 张三 |
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Description: 基于粗糙熵和K-均值聚类算法的图像分割 基于粗糙熵和K-均值聚类算法的图像分割-Based on Rough Entropy and K-means clustering algorithm for image segmentation based on rough entropy and K-means clustering algorithm for image segmentation
Platform: |
Size: 257024 |
Author: 张三 |
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Description: we peresent full pakage of the methods that apply rough set theory in the
context of segmentation (or partitioning) of multichannel medical imaging
data. We put this approach into a semi-automatic framework, where
the user specifies the classes in the data by selecting respective regions in
2D slices. Rough set theory provides means to compute lower and upper
approximation of the classes. The boundary region between the lower
and the upper approximations represents the uncertainty of the classification.
We present an approach to automatically compute segmentation
rules the rough set classification using a k-means approach.-we peresent full pakage of the methods that apply rough set theory in the
context of segmentation (or partitioning) of multichannel medical imaging
data. We put this approach into a semi-automatic framework, where
the user specifies the classes in the data by selecting respective regions in
2D slices. Rough set theory provides means to compute lower and upper
approximation of the classes. The boundary region between the lower
and the upper approximations represents the uncertainty of the classification.
We present an approach to automatically compute segmentation
rules the rough set classification using a k-means approach.
Platform: |
Size: 15299584 |
Author: Mohamed A. El-Sayed |
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