文件名称:fcm
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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.)
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.)
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
fcm\fcm.m | 887 | 2019-11-30 |
fcm\hc4.jpg | 7630 | 2019-11-25 |
fcm\img.m | 352 | 2019-11-30 |
fcm\lenna.bmp | 786486 | 2019-11-29 |
fcm\run.m | 753 | 2019-11-28 |
fcm\song.jpg | 26085 | 2019-11-25 |
fcm\tu.jpg | 15808 | 2019-11-25 |
fcm\tu2.jpg | 15808 | 2019-11-25 |
fcm | 0 | 2019-11-30 |
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