文章摘要
刘秀平,常先堂,李治隆.一种基于边缘和区域信息的变分水平集图像分割方法[J].,2008,(5):754-758
一种基于边缘和区域信息的变分水平集图像分割方法
A variational level set method of image segmentation based on boundary and region information
  
DOI:10.7511/dllgxb200805024
中文关键词: 活动轮廓线  变分水平集  基于边缘  基于区域  隐式迭代
英文关键词: active contour  variational level set  based on boundary  based on region  implicit iterative
基金项目:新世纪优秀人才支持计划资助项目(NCET-05-0275);国家自然科学基金资助项目(60873181).
作者单位
刘秀平,常先堂,李治隆  
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中文摘要:
      分析了两种已有变分水平集图像分割模型,并由它们提出了一种新的基于图像边缘梯度信息和区域全局信息的变分水平集方法.该方法既克服了所述两种模型的缺点,又继承了各自的优点.同时,采用隐式迭代数值解法,在保证模型稳定性的基础上,加快了收敛速度.实验表明所提方法对于不同类型的图像均能够达到快速、稳定、准确、鲁棒的分割效果.
英文摘要:
      Two present variational level set models of image segmentation are analyzed, then based on them a new variational level set method is proposed to integrate the image information from both boundary gradient and region. This method succeeds the advantages of these two above-mentioned models while overcomes their disadvantages. Meanwhile, the method adopts the implicit iterative numerical algorithm, which can not only guarantee the stability but also improve the convergence speed of the proposed model. Experiments illustrate that the method proposed has the ability to segment images with different types and results in rapid, stable, exact and robust effects.
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