计算机应用与软件Issue(2)：198-200,204,4.DOI:10.3969/j.issn.1000-386x.2014.02.053
结合FCM和RSF模型的医学图像分割方法
MEDICAL IMAGE SEGMENTATION METHOD COMBINING FCM WITH RSF MODEL
郑伟 1潘正勇1
作者信息
- 1. 河北大学电子信息工程学院 河北 保定071002
- 折叠
摘要
Abstract
Aiming at the defect of existing active contour model that it is sensitive to initialisation,we propose a new region-based active contour model in this paper.This model uses the fuzzy C-means clustering (FCM)algorithm to pre-segment the image,and binarise the results of pre-segmentation to the seed tagged matrix,which solves the problem of initialisation sensitivity;The local area item of the RSF(region-scalable fitting)model is adopted as the energy item,which improves the ability of segmenting the images with inhomogeneous grey distribution;In numerical calculation,Gaussian filtering is utilised to regularise the level set function,which prevents the process of re-initialisation and improves segmentation efficiency.Experimental results show that the proposed model prevents the re-initialisation,it has the characteristics of accurate in segmentation result and high in segmentation efficiency.关键词
图像分割/活动轮廓模型/FCM聚类/RSF模型Key words
Image segmentation/Active contour model/FCM clustring RSF model分类
信息技术与安全科学引用本文复制引用
郑伟,潘正勇..结合FCM和RSF模型的医学图像分割方法[J].计算机应用与软件,2014,(2):198-200,204,4.
