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应用科学学报 ›› 2011, Vol. 29 ›› Issue (3): 274-280.doi: 10.3969/j.issn.0255-8297.2011.03.010

• 信号与信息处理 • 上一篇    下一篇

一种改进的自适应距离保持水平集演化方法

周林， 平西建， 童莉   

  1. 解放军信息工程大学信息工程学院，郑州450002
  • 收稿日期:2010-06-15 修回日期:2011-04-06 出版日期:2011-05-26 发布日期:2011-05-30
  • 作者简介:周林，博士生，研究方向：图像处理、模式识别，E-mail: zhoulin8382@163.com；平西建，教授，博导，研究方向：图像处理、信息隐藏、模式识别，E-mail: pingxj@126.com
  • 基金资助:

    国家自然科学基金(No.60970142)资助

Improved Method of Adaptive Distance Preserving Level Set Evolution

ZHOU Lin, PING Xi-jian, TONG Li   

  1. Institute of Information Engineering, PLA Information Engineering University, Zhengzhou 450002, China
  • Received:2010-06-15 Revised:2011-04-06 Online:2011-05-26 Published:2011-05-30

PDF

1750

被引次数

6

摘要：

 提出一种改进的自适应距离保持水平集演化方法. 该方法定义新的图像相依权系数与停止函数，有效解决了演化曲线对初始位置敏感的问题. 零水平集曲线能根据图像性质自适应地决定向内还是向外运动，而且在像素灰度值相等的区域曲线能继续演化直至目标物体边界，并提高了零水平集曲线对深度凹陷边界的捕获能力. 实验结果表明，该方法能有效检测目标边界，且有较强的抗噪能力.

关键词: 图像分割, 偏微分方程, 几何活动轮廓, 距离保持水平集方法

Abstract:

In this paper, an improved method of adaptive distance preserving level set evolution is proposed. A weighting coefficient depending on information in the image and a stop function are defined. The evolution curve is no longer sensitive to the position of the initial curve, which can be anywhere in the image. The curve of zero level set can detect object boundaries when it is in a region with pixels having the same gray value. The method enhances capability of detecting boundary concavities. Experiments on images with different object boundaries show that the proposed method can detect the object contour effectively and has strong anti-noise ability.

Key words: image segmentation, partial differential equation, geometric active contour mode, distance preserving, level set method

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