一种基于形态学的脑肿瘤分割

李晓龙; 帅仁俊

doi:10.3788/YJYXS20153001.0157

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一种基于形态学的脑肿瘤分割

成像技术与图像处理 | 更新时间：2020-08-12

- 一种基于形态学的脑肿瘤分割
- One kind of segmentation of brain tumors based on morphology
- 液晶与显示 2015年30卷第1期页码：157-162
- 作者机构：
  
  南京工业大学电子与信息工程学院,江苏南京,211816
- 作者简介：
- 基金信息：
  
  十一五国家科技支撑计划项目(No.2010BAI88B00)()
- DOI：10.3788/YJYXS20153001.0157
  中图分类号： TP391.41
- 收稿日期：2014-03-23，
  
  修回日期：2014-04-11，
  
  网络出版日期：2014-05-18，
  
  纸质出版日期：2015-02-05
- 稿件说明：
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李晓龙, 帅仁俊. 一种基于形态学的脑肿瘤分割[J]. 液晶与显示, 2015,30(1): 157-162

LI Xiao-long, SHUAI Ren-jun. One kind of segmentation of brain tumors based on morphology[J]. , 2015,30(1): 157-162
李晓龙, 帅仁俊. 一种基于形态学的脑肿瘤分割[J]. 液晶与显示, 2015,30(1): 157-162 DOI： 10.3788/YJYXS20153001.0157.

LI Xiao-long, SHUAI Ren-jun. One kind of segmentation of brain tumors based on morphology[J]. , 2015,30(1): 157-162 DOI： 10.3788/YJYXS20153001.0157.

摘要

由于脑部结构复杂

存在精密纹理并且由于成像技术的限制

传统分水岭算法分割脑肿瘤很容易产生过分割问题.本文提出一种改进的分水岭算法解决此过分割现象.在应用分水岭算法之前对图像进行一些预处理:首先

应用形态学开闭重建重构原图像

滤除噪声和复杂细小的纹理;其次

对重建后的图像做多尺度形态学梯度

并对修改了标识符的梯度图像进行分水岭算法分割.实验结果表明:结构元素半径大小取17~22

肿瘤能够完全地分割出来.与传统的分水岭分割算法相比

本文所采用的算法很好地抑制了过分割问题

可以很容易地分割出肿瘤.

Abstract

As the brain is complicated

which has precision texture

and imaging technologies is limited

there will be an over segmentation issue if the traditional watershed algorithm is used to segment brain tumor. As a matter of method

some pre-processing is proposed before applying the watershed segmentation: firstly

morphological opening and closing reconstruction is used to reconstruct the original image and to filter the noise and fine texture; secondly

the multi-scale morphological gradient is used in the reconstructed image

and the watershed segmentation algorithm is used in the gradient image of modified marker. Experiments results indicate that the tumor can be separated completely when structural element radius size is used from 17 to 22. Compared with the traditional watershed segmentation algorithm

this method alleviates the over segmentation problem

and tumor can be separated easily from the original image.

关键词

Keywords

references

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