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结合DRLSE模型的自适应医学图像分割算法
引用本文:刘伟伟,刘金清.结合DRLSE模型的自适应医学图像分割算法[J].电子测量技术,2011,34(11):62-65.
作者姓名:刘伟伟  刘金清
作者单位:福建师范大学物理与光电信息科技学院 福州 350007;福建省光子技术重点实验室 福州 350007
基金项目:福建省自然科学基金面上项目(2010J01327)
摘    要:最近提出的距离正则化的水平集演化新模型采用高斯滤波去除图像噪声,存在使图像边缘变模糊和仍然不能实现自适应分割的问题.为了解决这些问题,采用正则化的P-M方程滤波,实现在去除噪声的同时保护图像边缘信息.并且通过初始曲线内外梯度模值的信息改变曲线单位法向量的方向,从而使曲线自适应地向内或者向外演化.最后,用改进的算法准确地...

关 键 词:变分水平集  正则化P-M方程  单位法向量  测地线活动轮廓  图像分割

Adaptive medical image segmentation algorithm combined with DRLSE model
Liu Weiwei , Liu Jinqing.Adaptive medical image segmentation algorithm combined with DRLSE model[J].Electronic Measurement Technology,2011,34(11):62-65.
Authors:Liu Weiwei  Liu Jinqing
Affiliation:1,2(1.School of Physics and Opto-Electronics Technology,Fujian Normal University,Fuzhou 350007; 2.Fujian Provincial Key Laboratory for Photonics Technology,Fuzhou 350007)
Abstract:The distance regularized level set evolution model proposed recently which uses Gaussian filter to reduce the image noise will yield blurred image edges.Besides,the model still can’t segment adaptively.To slove these problems,we adopt regularized P-M equation filter which can remove the noise while preserving edge information.On the other hand,gradient informarion which depends on inward and outward area’s curve is used to improve the direction of the unit normal vector.As a result,the curve can realize adaptive evolution inwards or outwards.In the end,the modified algorithm is applied to accurately extract the medical image’s contour,and greatly reduce computational cost.
Keywords:variational level set  regularized P-M equation  unit normal vector  geodesic active contour  image segmentation
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