A Massive Multi-agent System for Brain MRI Segmentation
A Massive Multi-agent System for Brain MRI Segmentation
复制标题
用于大脑 MRI 分割的大型多智能体系统
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
L. Hamami
中科院分区：
文献类型：
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作者：
R. Haroun;Fatima Oulebsir;S. Hassas;L. Hamami
有几种图像分割算法;每一种都有其优点和局限性。在这项工作中，我们的目标是使用两种算法的优点，在一个庞大的多智能体环境。我们使用FCM（模糊C均值）算法，以管理不确定性和不精确性和区域生长算法，局部作用于图像。然后将大规模多智能体范式引入区域生长过程中，以提高分割质量。但是在某些情况下分割后的图像会出现一些缺陷，我们提出了使用双谓词的区域生长算法，通过大量的协作过程，来提高分割图像的质量。系统的大规模性允许更好的质量分析。
There are several image segmentation algorithms; each one has its advantages and its limits. In this work, we aim to use the advantages of two algorithms, in a massive multi-agents environment. We use the FCM (Fuzzy C-Mean) algorithm, to manage uncertainty and imprecision and the Region Growing algorithm, to act locally on the image. The massive multi-agents paradigm is then introduced into the region growing process in order to improve the segmentation quality. However in some cases some defaults appear in the segmented image, we propose then the use of a double predicate for the Region Growing algorithm, through a massive cooperative process, in order to improve the quality of the segmented image. Massiveness of the system allows for a better quality analysis.