Level set method of image segmentation based on adaptive model

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (27): 221-224.

• 图形、图像、模式识别 • Previous Articles Next Articles

Level set method of image segmentation based on adaptive model

XIE Yi1，YANG Ling2

1.College of Electronic Engineering，Chengdu University of Information Technology，Chengdu 610225，China
2.College of Networks Engineering，Chengdu University of Information Technology，Chengdu 610225，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-09-21 Published:2011-09-21

自适应模型的水平集图像分割方法

谢意1，杨玲2

1.成都信息工程学院电子工程学院，成都 610225
2.成都信息工程学院网络工程学院，成都 610225

Abstract

Abstract: Level-set has been widely used in image segmentation.This paper introduces the traditional level-set based on the model of C-V and GAC，then a new method is presented to segment images，which combines with the advantages of the C-V model and the GAC model mean while it selectively considers the local information in the illegibility area according to the characteristics of image.Finally，a real example demonstrates the method is effectiveness and feasibility on segmenting the noisy blurry boundary and intensity inhomogeneity images.

Key words: level-set, energy function, image segmentation, Partial Differential Equation（PDE）

摘要： 水平集广泛应用于图像分割。给出基于传统C-V和GAC模型的水平集方法，在此基础上，介绍了一种结合C-V模型和GAC模型并根据图像特征选择性融入图像局部信息的自适应模型的水平集分割方法。通过实例分析，证明了该方法对分割弱边缘和灰度渐进的图像是有效的，并且抗噪声性能较好。

关键词: 水平集, 能量函数, 图像分割, 偏微分方程

XIE Yi1，YANG Ling2. Level set method of image segmentation based on adaptive model[J]. Computer Engineering and Applications, 2011, 47(27): 221-224.

谢意1，杨玲2. 自适应模型的水平集图像分割方法[J]. 计算机工程与应用, 2011, 47(27): 221-224.

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Level set method of image segmentation based on adaptive model

自适应模型的水平集图像分割方法

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