一种鲁棒的区域活动轮廓图像分割方法

计算机科学 ›› 2013, Vol. 40 ›› Issue (Z11): 325-328.

一种鲁棒的区域活动轮廓图像分割方法

蒋帆,王昌明,包建东,谢小敏,丁良华

南京理工大学机械工程学院南京210094;南京理工大学机械工程学院南京210094;南京理工大学机械工程学院南京210094;南京理工大学机械工程学院南京210094;内蒙古北方重工业集团有限公司科研所包头014033

出版日期:2018-11-16 发布日期:2018-11-16

Robust Region_based Active Contours Model for Image Segmentation

JIANG Fan,WANG Chang-ming,BAO Jian-dong,XIE Xiao-min and DING Liang-hua

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 针对分割灰度不均或者边缘模糊图像时出现的问题,提出一种改进的活动轮廓模型。首先,利用图像的统计信息构建新的全局力和局部力。其次,将这两种力加权组合得到一个混合的能量函数。采用水平集方法最小化该能量泛函,得到水平集演化方程并不断更新。最后,采用高斯滤波方法规则化水平集方程。合成图像和真实图像的实验结果表明:优化模型能有效地分割非同质或弱边缘图像,对噪声以及初始轮廓曲线具有较好的鲁棒性以及高的计算效率等优点。

关键词: 图像分割,活动轮廓模型,灰度不均,初始曲线,噪声

Abstract: A novel region_based active contours model is proposed to deal with the images with intensity inhomogeneities and weak boundaries．For the proposed model,new global force and local force are defined,which compose a hybrid energy functional．Then,the energy functional is incorporated into a variational level set formulation．Furthermore,we regularize the level set function by using Gaussian filtering to keep it smooth and eliminate the re-initialization．In addition,the proposed model can degrade to a new global CV model．Experiment results show that the proposed model can not only segment images with intensity inhomogeneities and weak boundaries,but also robust to the noise,initial contours．And,it has high computational efficiency.

Key words: Image segmentation,Active contours model,Intensity inhomogeneities,Initial contours,Noise

蒋帆,王昌明,包建东,谢小敏,丁良华. 一种鲁棒的区域活动轮廓图像分割方法[J]. 计算机科学, 2013, 40(Z11): 325-328. https://doi.org/

JIANG Fan,WANG Chang-ming,BAO Jian-dong,XIE Xiao-min and DING Liang-hua. Robust Region_based Active Contours Model for Image Segmentation[J]. Computer Science, 2013, 40(Z11): 325-328. https://doi.org/

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