计算机工程2012，Vol.38Issue(10)：188-190,3.DOI:10.3969/j.issn.1000-3428.2012.10.057
融合局部图像信息的SLGS活动轮廓模型
SLGS Active Contour Model Fused with Local Image Information
摘要
Abstract
The SLGS model can not deal with intensity inhomogeneity, while the RSF model is sensitive to initialization. Incorporating the local information defined by the RSF model into the SLGS model, this paper proposes a novel active contour model in a partial differential equation formulation. A signed pressure force function is defined by a linear combination of the global fitting values defined by the SLGS model and the local fitting values defined by the RSF model. By choosing appropriately the parameter that controls the influence of the global and local fitting values, the proposed model can efficiently deal with intensity inhomogeneity and allows for the flexible initialization. Experimental results show that the proposed model is more accurate than the SLGS model.关键词
图像分割/水平集方法/活动轮廓模型/C-V模型/RSF模型/SLGS模型/灰度不均Key words
image segmentation/level set method/active contour model/C-V model/RSF model/SLGS model/intensity inhomogeneity分类
信息技术与安全科学引用本文复制引用
刘瑞娟,何传江,原野..融合局部图像信息的SLGS活动轮廓模型[J].计算机工程,2012,38(10):188-190,3.基金项目
重庆大学研究生科技创新基金资助项目(CDJXS11100045) （CDJXS11100045）
重庆市自然科学基金资助项目(CSTC,2010BB9218) （CSTC,2010BB9218）
