计算机工程与应用2018，Vol.54Issue(8)：195-200,206,7.DOI:10.3778/j.issn.1002-8331.1707-0051
修正局部极小值的局部灰度差异分割模型
Segmentation model via local intensity difference to modify local minimum
摘要
Abstract
The existing local models are easy to fall into local minimum when segmenting the images with intensity inho-mogeneity,which leads to the phenomenon that the evolution curve remains in the background or inside the target and can not continue to evolve and causing the segmentation failure,a model is put forward.The proposed model introduces a local intensity difference term in the energy function to drive the evolution curve across the background or inside the target by maximizing the difference between the target and the background in the neighborhood of all points on the evolution curve until it stably remains at the target edge.The experimental results show that the proposed model in this paper can effectively solve the problem caused by the local minimum in local models and improves the accuracy of complex images such as image inhomogeneity and reduces the sensitivity to the initial contour.关键词
活动轮廓模型/局部灰度差异/图像分割/水平集/区域可变的能量拟合(RSF)模型Key words
active contour model/local intensity difference/image segmentation/level set method/Region-Scalable Fitting (RSF)model分类
信息技术与安全科学引用本文复制引用
李钢,李海芳,赵怡,邓红霞..修正局部极小值的局部灰度差异分割模型[J].计算机工程与应用,2018,54(8):195-200,206,7.基金项目
国家自然科学基金(No.61472270). （No.61472270）
