华东师范大学学报(自然科学版) ›› 2015, Vol. 2015 ›› Issue (1): 161-171.doi: 10.3969/j.issn.1000-5641.2015.01.020

• 计算机科学 • 上一篇    下一篇

一种改进的水平集主动轮廓模型

吴璋, 朱敏   

  1. 华东师范大学 计算中心, 上海 200062
  • 收稿日期:2014-04-01 出版日期:2015-01-25 发布日期:2015-03-29
  • 通讯作者: 朱敏, 女, 高级工程师, 硕士生导师, 研究方向为图像处理与模式识别等 E-mail:mzhu@cc.ecnu.edu.cn
  • 作者简介:第一作者: 吴璋, 女, 硕士研究生, 研究方向为图像处理与模式识别. E-mail: naruto\_wu@126.com
  • 基金资助:

    国家863计划曙光EB级云存储系统研制(2013AA01A211)

An improved active contour model based on level set method

 WU  Zhang, ZHU  Min   

  1. Computing Center, East China Normal University, Shanghai 200062, China
  • Received:2014-04-01 Online:2015-01-25 Published:2015-03-29

摘要: 通过统计具有图像增强能力的局部区域信息,提出了一种改进的水平集主动轮廓模型.结合非负核函数和具有矫正图像误差特点的灰度集群思想,定义了一种新的符号压力函数(SPF),此函数能够很好处理灰度不均匀、对象边界不明确的问题. 并且,引入惩罚项, 确保水平集函数的适应性.真实图像和合成图像的实验结果表明, 该模型收敛迅速, 具有抗噪性,对分割目标图像敏感, 能够处理弱边界的多目标图像

关键词: 一种改进的水平集主动轮廓模型, 弱边界, 灰度不均匀, 图像分割

Abstract: By using the local regional information which has the ability to enhance the image, an improved active contour model based on level set method is proposed. Defining a novel SPF function with a nonnegative kernel function and local intensity clustering property, the novel model could draw upon intensity information in local regions at a controllable scale. In addition, the penalizing term which can be called distance regularization term drives the motion of the zero level set toward desired locations. Experimental results for real and synthetic images show the desirable proposed method performances and the model efficiency on intensity inhomogeneities and weak boundaries

Key words: an improved active contour model based on level set method, weak boundary, intensity inhomogeneity, image segmentation

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