基于区域信息耦合的自适应图像分割  

Adaptive Image Segmentation Based on Region Information Coupling

作　　者：李更生 刘国军 马文涛 Li Gengsheng;Liu Guojun;Ma Wentao(School of Mathematical Statistics,Ningxia University,Yinchuan,Ningxia 750021,China)

机构地区：[1]宁夏大学数学统计学院,宁夏银川750021

出　　处：《激光与光电子学进展》2022年第2期193-202,共10页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(62061040,12162029);宁夏自然科学基金(2018AAC03014);宁夏区重点研发计划(2019BEG03056);研究生创新项目(GIP2020059)。

摘　　要：针对传统变分水平集分割算法对灰度不均匀图像分割效果较差以及对初始轮廓敏感的问题,提出了一种基于局部和全局信息耦合的自适应活动轮廓模型。通过权函数调整局部区域拟合能量和全局区域拟合能量的占比,给出了一种随轮廓演化自适应更新的权函数。在合成图像、真实图像以及自然图像中的实验结果表明,该算法对噪声具有较强的鲁棒性,且对轮廓的初始位置不敏感。In order to solve the problem that the traditional variational level set segmentation algorithm is poor in segmenting uneven gray images and sensitive to the initial contours,we propose an adaptive active contour model based on local and global information coupling.By adjusting the proportion of local region fitting energy and global region fitting energy by weight function,a weight function which is adaptively updated with the evolution of the contour is given.Experiments results in synthetic images,real images and natural images show that the algorithm is robust to noise and insensitive to the initial position of the contours.

关 键 词：图像处理 图像分割 自适应权函数 变分水平集 活动轮廓 

分 类 号：TN911.73[电子电信—通信与信息系统]