Optimization of multi-thresholding segmentation in head CT images

doi:10.3778/j.issn.1002-8331.2009.22.061

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (22): 191-193.DOI: 10.3778/j.issn.1002-8331.2009.22.061

• 工程与应用 • Previous Articles Next Articles

Optimization of multi-thresholding segmentation in head CT images

LIU Si-wei¹，LI Bin¹，TIAN Lian-fang¹，CHEN Ping²

1.College of Automation Science and Engineering，South China University of Technology，Guangzhou 510640，China
2.Dept. of Nuclear Medicine，The First Affiliated Hospital of Guangzhou Medical College，Guangzhou 510120，China

Received:2008-04-22 Revised:2008-07-11 Online:2009-08-01 Published:2009-08-01
Contact: LIU Si-wei

头部CT图像多阈值分割的优化实现

刘思伟¹，李彬¹，田联房¹，陈萍²

1.华南理工大学自动化科学与工程学院，广州 510640
2.广州医学院第一附属医院核医学科，广州 510120

通讯作者: 刘思伟

Abstract

Abstract: Thresholding segmentation is one of the methods of medical image pre-processing.An appropriate method can reduce the workload of the subsequent processing.However，the segmentation has low efficiency with applying only one traditional method each time.This article introduces a multi-thresholding segmentation method using Otsu with genetic algorithm.The method is applied in the head CT image segmentation，and compared with the overall searching algorithm.The result shows that it keeps the accuracy of overall searching algorithm and increases the searching speed.Therefore，the efficiency of the segmentation is enhanced dramatically.

Key words: multi-thresholding segmentation, genetic algorithm, head CT images, Otsu

摘要： 阈值分割是医学图像预处理方法的一种，合适的分割方法能减少后续图像处理的数据。单独使用传统的阈值分割方法往往效率很低。提出一种基于遗传算法的图像多阈值分割方法。通过设计最大类间方差法与遗传算法相结合的算法，对头部CT图像进行分割，并与遍历算法作比较。实验结果表明，此方法不仅保留遍历算法的精度，并且快速得到最优阈值，明显提高了分割的效率。

关键词: 多阈值分割, 遗传算法, 头部CT图像, 最大类间方差法

LIU Si-wei¹，LI Bin¹，TIAN Lian-fang¹，CHEN Ping². Optimization of multi-thresholding segmentation in head CT images[J]. Computer Engineering and Applications, 2009, 45(22): 191-193.

刘思伟¹，李彬¹，田联房¹，陈萍². 头部CT图像多阈值分割的优化实现[J]. 计算机工程与应用, 2009, 45(22): 191-193.

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Optimization of multi-thresholding segmentation in head CT images

头部CT图像多阈值分割的优化实现

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