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

计量
- 文章访问数: 2239
- HTML全文浏览量: 66
- PDF下载量: 718
- 被引次数: 0
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.

HTML全文

参考文献(1)

Terzopoulos D. On matching deformable models to images. Technical Report 60, Schlumberger Palo Alto research, 1986. Reprinted in Topical Meeting on Machine Vision, Technical Digest Series, 1987, Vol.12: 160-167.[2]Kass M, Witkin A, Terzopoulos D. Snakes: active contour models. Intl J. Comp. Vis., 1987,1(4): 321-331.[3]Caselles V, Catte F, Coll T, Dibos F. A geometric model for active contours[J].Numerische Mathematik.1993, 66(1):1-31[4]Malladi R, Sethian J A, Vemuri B C. Shape modeling with front propagation: a level set approach.IEEE Trans. on Part. Anal. Mach. Intell., 1995, PAMI-17(2): 158-175.[5]张丽飞.基于最小描述长度准则的活动围道方法及相关技术:[博士论文].北京:中国科学院电子学研究所,2002,年11月.[6]Parzen E. On estimation of a probability density function and mode. Annals of Mathematical Static. 1962, 33(3): 1065-1076.[7]Kim Junmo, Fisher Ⅲ W, Yezzi A, Jr., Cetin M, Willsky A S. Nonparametric methods for image segmentation using information theory and curve evolution. IEEE Conf. on Image Processing,Rochester, NY, Sept. 2002, Vol.3: 797-800.[8]张丽飞,王东峰,时永刚,邹谋炎.基于形变模型的图像分割技术综述[J].电子与信息学报.2003,25(3):395-403浏览[9]Osher S, Sethian J A. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations[J].J. Computational Physics.1988, 79(1):12-49[10]Sethian J A. Curvature and evolution of fronts[J].Commun. Math. Phys.1985, 101(4):487-499[11]Sethian J A. A review of recent numerical algorithms for hypersurfaces moving with curvature dependent speed. J. Differential Geometry, 1990, 31(1): 131-161.

施引文献

资源附件(0)

访问统计