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中文摘要：
提出一种基于空间邻域信息的FCM图像分割算法，该方法将目标函数中的距离定义为特征距离与空间距离之和，不仅反映特征距离，而且反映空间距离．将空间信息引入到传统FCM算法的目标函数中，建立了包含邻域信息的新的聚类目标函数，实现图像的分割．实验结果表明，新算法能够获得较好的分割效果和质量，同时具有较强的抑制噪声的能力．
英文摘要：
A novel fuzzy C-means algorithm based on the spatial information is proposed, where the distance is defined as a combination of the Euclidean distance in the feature space and the spatial distance, which not only reflects the feature distance, but also reflects the spatial distance. A novel objective function has been established which contains neighbor information. Experimental results indicate that the proposed algorithm can get better segmentation result and is more robust to noise.
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同项目期刊论文
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