一种非参数估计的活动围道图像分割方法

杨鸿波; 时永刚; 邹谋炎

一种非参数估计的活动围道图像分割方法

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出版历程
- 收稿日期: 2003-08-11
- 修回日期: 2004-01-05
- 刊出日期: 2004-12-19

Nonparametric Methods for Image Segmentation Using Active Contour

摘要

摘要: 该文采用Parzen窗非参数估计的活动围道方法进行图像分割，不必假定图像区域符合特定的概率分布，大大增加了该算法的应用范围。通过动态调整Parzen窗口参数，更好地利用了图像灰度区域一致的信息，使之更好地适应图像分割的任务。通过合成图像和真实图像的实验证明此方法具有很好的合理性，具有很好的分割精度和抗噪性能。
- 非参数概率密度估计; Parzen窗; 活动围道; 水平截集; 图像分割
Abstract: This paper applies Parzen-window nonparametric estimation of active contour methods for image segmentation which can be performed without regarding image regions as any of typical probability distributions, so it expands the application range of the algorithm. In order to use the information of gray value congruence in a particular region, the Parzen-window parameter is alterable in estimating the densities. This will be more suit for practical image segmentation. Manj examples of synthetical and real image segmentation prove that the method is rationality, better for curve evolution and has good accuracy and antinoise function.

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