基于变分水平集模型的虹膜图像分割方法  

Iris Image Segmentation Method Based on Variational Level Set Model

作　　者：张荷萍[1] 徐效文[1] 

机构地区：[1]中南大学地球科学与信息物理学院生物医学工程研究所,长沙410083

出　　处：《计算机工程》2013年第10期251-253,共3页Computer Engineering

基　　金：中央高校基本科研业务费专项基金资助项目(201012200064)

摘　　要：当虹膜图像受眼睑、睫毛及变形等影响时,会造成分割不准确,如何有效地分割虹膜是虹膜识别面临的主要问题。为此,提出一种基于变分水平集模型的虹膜图像分割方法。采用灰度投影法粗略确定瞳孔,使用最小二乘拟合得到瞳孔与虹膜边界,通过变分水平集模型精确分割虹膜。实验结果表明,该方法对虹膜外边缘分割的准确率为98.59%,高于Daugman、Hough变换及改进Hough变换等常用方法。Segmenting the iris accurately is a main problem for iris recognition, due to the impact of the eyelids, eyelashes and deformation. This paper presents an iris segmentation method based on variational level set model. It uses gray projection algorithm to locate the pupil, applies a least square fitting algorithm to estimate the boundary between the pupil and the iris, and employs a variational level set model to accurately segment the iris. Experimental results demonstrate the segmentation accuracy of 98.59% for outer edge of the iris is better than using Daugman method, Hough translbrmation method and improved Hough transformation method.

关 键 词：虹膜分割 变分水平集 最小二乘拟合 能量函数 水平集演化方程 变形虹膜 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]