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一种基于P系统的图像阈值分割方法

周斌

西华大学学报(自然科学版)2012,Vol.31Issue(6):39-42,4.
西华大学学报(自然科学版)2012,Vol.31Issue(6):39-42,4.

一种基于P系统的图像阈值分割方法

An Approach for Image Thresholding Segmentation Based on P System

周斌1

作者信息

  • 1. 西华大学数学与计算机学院,四川成都610039
  • 折叠

摘要

Abstract

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.

关键词

图像阈值分割方法/P系统/膜计算

Key words

thresholding segmentation/ P system/ membrane computing

分类

信息技术与安全科学

引用本文复制引用

周斌..一种基于P系统的图像阈值分割方法[J].西华大学学报(自然科学版),2012,31(6):39-42,4.

西华大学学报(自然科学版)

OACSTPCD

1673-159X

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