基于改进的局部二值拟合主动轮廓模型的指静脉图像分割

对应用于图像分割的局部二值拟合(LBF)模型进行改进,提出一种加权全变分局部二值拟合能量泛函分割模型。改进后的模型在加权全变分分量中加入边缘停止函数,使得模型对边缘信息更加敏感,解决了指静脉图像对比度低、不易分割的问题。同时模型中采用正则化约束项,避免水平集函数的重新初始化,缩短了演化时间。对合成图像和真实指静脉图像的分割实验结果表明,本文模型比LBF模型具有更强的边缘细节分割能力,且不易陷入局部收敛,更加适用于指静脉图像的分割。

Finger vein image segmentation based on an improved LBF active contour model

We proposed an improved image segmentation model based on Local Binary Fitting(LBF) to solve the difficulties in finger vein image segmentation caused by fuzzy localness,low contrast and inhomogeneous intensity.The model inherits the advantages of LBF model in selecting Gaussian kernel to acquire local information,which is very effective for segmenting image of inhomogeneous intensity.Specially,a weighted total variant component with edge stopping function is added to the improved model,which gives the mode...