摘要
将P系统引入到图像阈值分割中,提出了一种基于P系统的图像阈值分割方法。采用一个两层膜的组织型P系统作为其计算框架,每个膜作为独立的并行计算单元,速度—位置模型作为进化规则,同时采用同向/反向转运规则交换和共享膜之间的对象。实验结果表明,这个基于P系统框架的阈值分割方法具有可用性和有效性,能为图像寻找最优的分割阈值。
This paper introduces P system for image thresholding segmentation and proposes a thresholding segmentation approach based on P system. It uses a two-tier tissue-like P system as its computing framework and every membrane is regarded as an independent computing unit, and uses the speed-location model as its evolution rule. At the same time, the communication rule with symport/ antiport rule is employed to exchange and share the objects among the membranes. The framework of the P system can find optimal segmentation thresholding for images. Experimental results illustrate the applicability and effectiveness of the proposed thresholding segmentation method.
出处
《西华大学学报（自然科学版）》
CAS
2012年第6期39-42,共4页
Journal of Xihua University:Natural Science Edition
关键词
图像阈值分割方法
P系统
膜计算
thresholding segmentation
P system
membrane computing
