基于改进主动轮廓模型的图像分割方法研究

计算机科学 ›› 2013, Vol. 40 ›› Issue (7): 289-292.

基于改进主动轮廓模型的图像分割方法研究

任守纲,马超,徐焕良

南京农业大学信息科技学院南京210095;南京农业大学信息科技学院南京210095;南京农业大学信息科技学院南京210095

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受江苏省科技支撑计划项目(BE2011339),中央高校基本科研业务专项资金项目(Y0201100080)资助

Improved Skeleton Extracton Algorithm Based Active Contour Model Research

REN Shou-gang,MA Chao and XU Huan-liang

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 主动轮廓模型是进行图像分割的有效方法,但主动轮廓模型在确定初始轮廓方面主要靠经验,理论方法不多。为此,提出了一种基于改进骨架算法的主动轮廓模型进行图像分割的方法。首先利用改进的骨架算法和轮廓重生算法,生成初始轮廓；再利用含有形状能量的主动轮廓模型进行轮廓的演化,使其接近真实的目标边缘,获得期望的图像分割结果。实例验证和比对实验结果表明,与传统的主动轮廓模型相比,该方法在图像分割的准确性和抗噪性方面有很大的提升。

关键词: 图像分割,骨架算法,主动轮廓,初始轮廓中图法分类号TP391.4文献标识码A

Abstract: Active contour model is an effective image segmentation method,but there aren’t many methods in the active contour model when determing the initial contour．In such case,this article put forward an improved skeleton extraction algorithm based active contour model to solve the problem．The model creates an initial contour by improved skeleton extraction algorithm and contour repossession algorithm,then evolves the contour towards true edge of object by the active contour model with shape energy item,to achieve the expected image segmentation.The example verification and comparision experiment prove the model can segment out the object area from the image in a much better way,with good noise immunity．Compared with traditional active contour,the model has a great improvement in segmentation accuracy．

Key words: Image segmentation,Skeleton extraction algorithm,Active contour,Initial contour

任守纲,马超,徐焕良. 基于改进主动轮廓模型的图像分割方法研究[J]. 计算机科学, 2013, 40(7): 289-292. https://doi.org/

REN Shou-gang,MA Chao and XU Huan-liang. Improved Skeleton Extracton Algorithm Based Active Contour Model Research[J]. Computer Science, 2013, 40(7): 289-292. https://doi.org/

参考文献

[1] Menet S,Saint-Mark P,Medion i G．B-Snak es:Implementation and application to stereo[A]∥Proceedings of Image Understanding Workshop[C]．Pittsburgh,Penn,USA,1990:720-726
[2] Brigger P,Hoeg J,Unser M．B-spline snakes:A flexible tool for parametric contour detection[J].IEEE Transactions on Image Processing,2000,9(9):1484-1496
[3] Staib L H,Duncan J S．Boundary fitting with parametrically deformable models[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1992,4(11):1061-1075
[4] Chakraborthy A,Staib L H,Duncan J S.Deformable boundary finding in medical images by integrating gradient and region information [J]．IEEE Transactions on Medical Imaging,1996,5(6):859-870
[5] CassellesV,K immel R,Sapiro G．Geodesicactive contours[A]∥Proceedings of International Conference on Computer Vision[C]．Boston,MA,USA,1995:694-699
[6] Malladi R,Sethian J A,Vemuri B C．Shape modeling with front propagation:A level set approach [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1995,17(2):158-174
[7] Sapiro G．Geometric Partial Differential Equations and Image Analysis[M]．Cambridge,UK:Cambridge University Press,2001
[8] 唐利明,何传江,申小娜.几何活动轮廓模型的多尺度扩散分割算法[J].计算机辅助设计与图形学学报,2007,9(5):661-666
[9] Caselles V,Kimmel R,Sapiro G.Geodesic active contours[J].International Journal of Computer Vision,1997,2(1):61-79
[10] Chan T,Vese L．Active contours without edges[J]．IEEETransactions on Image Processing,2001,0(2):266-277
[11] Li C M,Kao C Y,Gore J C,et al．Minimization of region-scalable fitting energy for image segmentation [J].IEEE Transactions on Image Processing,2008,7(10):1940-1949
[12] Mishra A K,Fieguth P W,Clausi D A．Decoupled active contour (DAC) for boundary detection [J]．IEEE Transaction on Pattern Analysis and Machine Intelligence,2011,3(2):310-324
[13] Yu W,Franchetti F,Chang Y J,et al．Fast and robust activecontours for image segmentation[C]∥ Proceedings of the 17^th IEEE International Conference on Image Processing．Los Alamitos:IEEE Computer Society Press,2010:641-644
[14] 胡同森,项方云.使用标识分水岭算法确定Snake模型的初始轮廓[J].浙江工业大学学报,2008,6(4):374-377
[15] 李丽勤,高焕文,周兴祥.Snake模型初始轮廓选取的研究[J].计算机工程与应用,2004,1:43-45
[16] 刘彩霞,范延滨,杨厚俊．GVF Snake模型中一种新的初始轮廓设置方法[J].计算机应用,2006,6(7):1614-1619
[17] Soille P．Morphological Image Analysis Principles and Applica-tions[M].Berlin,Germany:SpringerVerlag,1999:123-140
[18] Kass M,Witkin A,Terzopulos D.Snake active contour models[J].International Journal of Computer Vision,1987,1(4):321-331
[19] Lankto S,Tannenbaum A.Localizing Region-Based Active Contours[J]．IEEE Tranasactions on Image Processing,2008,1(17):2029-2039

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