系统仿真学报 ›› 2016, Vol. 28 ›› Issue (1): 174-182.

• 仿真应用工程 • 上一篇    下一篇

基于符号压力函数驱动的活动轮廓图像分割

吕红力1, 王仁芳2   

  1. 1.温州大学数学与信息科学学院,温州 325035;
    2.浙江万里学院计算机与信息学院,宁波 315100
  • 收稿日期:2014-08-08 修回日期:2014-09-15 发布日期:2020-07-02
  • 作者简介:吕红力(1982-), 男, 河南, 硕士生, 研究方向为数字图像处理; 王仁芳(通讯作者 1974-), 男, 浙江, 博士, 教授, 研究方向为计算机图形图像处理。
  • 基金资助:
    国家自然科学基金(61073074); 浙江省科技计划项目(2016C31G2210002); 宁波市自然科学基金(201601HJ-B01100)

Image Segmentation Based on Active Contour Derived by Signed Pressure Force Function

Lü Hongli1, Wang Renfang2   

  1. 1. College of Mathematics and information Science, Wenzhou University, Zhejiang 325035, China;
    2. College of Computer Science and Information Technology, Zhejiang Wanli University, Ningbo 315100, China
  • Received:2014-08-08 Revised:2014-09-15 Published:2020-07-02

摘要: 针对用于图像分割的距离正则化水平集演化模型(DRLSE)具有初始化曲线不灵活,曲线演化方向不具有自适应性等缺点,提出一种新的活动轮廓模型。构造一个融合了局部信息和全局信息的符号压力函数(SPF),并证明SPF能够调节目标区域内外的压力符号;把SPF融入到DRLSE模型,从而解决初始化曲线必须设置在目标边缘的内部或者外部的问题。实验结果表明,新模型的初始化曲线可以置于图像的任何地方,能有效分割亮度不均匀和弱边缘图像,也能有效的分割包含多目标物体以及深度凹陷区域的图像。

关键词: 活动轮廓, DRLSE模型, SPF函数, 局部信息, 全局信息

Abstract: Distance regularized level set evolution model for image segmentation has some shortcomings. Initial curve is not flexible and the direction of curve evolution is not self-adaptive. A new active contour model was proposed. A signed pressure force function (SPF) was constructed, integrating local information and global information, and shown to modulate the signs of pressure forces inside and outside the region of object; Then SPF was embed to DRLSE model to solve the problem of requiring the initial contour to surround (let in or keep out) the objects. Experimental results show that the new model's initial contour can be placed anywhere in the image, the new model can effectively segment images with intensity inhomogeneity and weak boundaries and it can effectively segment images containing multi-objects or deep recessed area.

Key words: active contour, DRLSE model, SPF function, local information, global information

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