计算机应用与软件2011，Vol.28Issue(2)：25-27,33,4.
基于改进的LBF模型的图像分割
IMAGE SEGMENTATION BASED ON IMPROVED LBF MODEL
摘要
Abstract
The LBF( Local Binary Fitting) method can segment image with inhomogeneous intensity using local image information. However, the method can not attain ideal segmentation outcome when dealing with the image with weak boundaries due to its sole reference on mean information. By analysing the phenomenon, an improved method is introduced in this paper, which considers local mean information as well as local and global variance information of the image simultaneously. In this way, the evolution curves can stop at the targeted boundaries accurately. Meanwhile, in order to accelerate the speed of curve evolution, the energy functions of CV model is combined too. A number of experiments prove that the improved method can achieve better effect in segmenting the image with weak boundaries, the evolution speed has been considerably raised as well.关键词
图像分割/LBF模型/弱边界引用本文复制引用
王顺凤,阮晶,王宇..基于改进的LBF模型的图像分割[J].计算机应用与软件,2011,28(2):25-27,33,4.基金项目
国家自然科学基金(60805003). （60805003）
