一种基于爱的FCM算法用于胆结石CT图像分割

2015 10th International Conference on Computer Science & Education (ICCSE) Pub Date : 2015-07-22 DOI:10.1109/ICCSE.2015.7250345

Wang Hong-yan, Lv Ji-xing

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引用次数: 2

摘要

为了获得更准确的胆结石CT图像分割结果，本文提出了一种基于lore的FCM算法，以克服传统FCM方法的不足。在目标函数中引入惩罚项，扩大了指定类的范围，提高了分割精度。仿真结果表明，基于知识的FCM可以明显提高分割质量。与传统的FCM相比，改进后的算法速度更快，效率更高。

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A lore-based FCM algorithm for gallstone CT images segmentation

To acquire more accurate CT image segmentation results of gallstone, this paper presents a Lore-Based FCM algorithm to conquer the deficiency of tradition FCM method. A penalty term is introduced to objective function to enlarge the range of specified class and achieve higher segmentation accuracy. The result of simulation shows that Lore-Based FCM can obviously improve the segmentation quality. The improved algorithm is more rapid and efficiency than the traditional FCM.

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2015 10th International Conference on Computer Science & Education (ICCSE)

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