一种基于距离修正的模糊C均值算法用于图像分割

2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI:10.1109/FSKD.2013.6816188

Naixiang Li, Peng Guo

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引用次数: 4

摘要

提出了一种改进距离计算的模糊c均值(FCM)算法。我们利用聚类中心的邻域信息来修正FCM中的距离。FCM中的距离由欧几里得距离和特征距离组成，特征距离用像素中心窗口计算，并用系数进行调谐。在我们的作品中选择Gamma函数来生成系数。实验结果表明，该方法具有良好的性能。

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A novel Fuzzy C Means algorithm based on distance modification for image segmentation

A novel Fuzzy c Means(FCM) algorithm with modified distance computation is proposed in this paper. We modify the distance in FCM with the neighborhood information of cluster centers. The distance in FCM is composed of the Euclidean distance and a characteristic distance, and the characteristic distance is calculated with a pixel center window and tuned with a coefficient. The Gamma function is selected to generate coefficients in our works. Experimental results show high performance of our approach.

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2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

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