计算机工程

• 图形图像处理 • 上一篇    下一篇

结合形状先验的水平集灰度纹理图像分割方法

王提,陈健,曾磊,童莉,闫镔   

  1. (解放军信息工程大学 信息系统工程学院,郑州 450000)
  • 收稿日期:2017-02-09 出版日期:2018-03-15 发布日期:2018-03-15
  • 作者简介:王提(1990—),男,硕士研究生,主研方向为图像处理;陈健、曾磊、童莉,副教授、博士;闫镔(通信作者),教授、博士生导师。
  • 基金项目:
    国家自然科学基金(61601518)。

Level Set Method Combing with Shape Prior for Intensity-texture Image Segmentation

WANG Ti,CHEN Jian,ZENG Lei,TONG Li,YAN Bin   

  1. (College of Information System Engineering,PLA Information Engineering University,Zhengzhou 450000,China)
  • Received:2017-02-09 Online:2018-03-15 Published:2018-03-15

摘要: 传统水平集图像分割方法多考虑图像底层数据而忽略高层语义特征,对灰度纹理图像的分割效果较差。针对该问题,结合形状先验设计水平集灰度纹理图像分割方法。通过ASLVD滤波获取纹理项,同时对滤波图像进行局部化处理得到形状先验,以形状概率表示形状先验能量项,将其与灰度项、规则化项和纹理项相结合,构造整体水平集曲线演化能量函数,并最小化能量函数得到分割结果。实验结果表明,该方法能够对目标背景遮挡的灰度纹理图像取得较好的分割效果。

关键词: 图像分割, 水平集方法, 形状先验, 灰度纹理图像, 能量函数

Abstract: Traditional level set methods for image segmentation cannot deal with the efficiency segmentation of intensity-texture image problem,which consider more of the underlying data and ignore the high-level semantic features.Aiming at this problem,this paper proposes an level set method combining with shape prior for intensity-texture image segmentation.Firstly,it uses ASLVD filtering to obtain texture term,meanwhile obtaining the shape prior term by localization of filter image.Then,it combines the energy function of level set consists of intensity item,regularization term,texture term and shape prior term to construct an integral horizontal set curve evolution energy function.Finally,it obtains the segmentation result by minimizing the energy function.Experimental results show that the proposed method can segment the overlapped intensity-texture image and object better performance.

Key words: image segmentation, level set method, shape prior, intensity-texture image, energy function

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