Computer Science ›› 2014, Vol. 41 ›› Issue (Z6): 207-210.

Previous Articles     Next Articles

Robust Region-based Active Contours Model for Image Segmentation

MENG Hong-bo,WANG Chang-ming and BAO Jian-dong   

  • Online:2018-11-14 Published:2018-11-14

Abstract: A novel region based active contours model was proposed to deal with the images with intensity inhomogeneities and weak boundaries.For the proposed model,a new energy function was defined,which consists of a local fitting term and an auxiliary global fitting term.Then,the energy functional was incorporated into a variational level set formulation.Furthermore,we regularized the level set function by using Gaussian filtering to keep it smooth and eliminated the re-initialization.In addition,the proposed model can degrade to a new global CV model.Experiments results show that the proposed model can not only segment images with intensity inhomogeneities and weak boundaries,but also robust to the noise and initial contours.Also,it has high computational efficiency.

Key words: Image segmentation,Active contours model,Region information,Intensity inhomogeneities,Initial contours

[1] Kass M,Witkin A,Terzopoulos D.Snakes:active contour models[J].International Journal of Computer Vision,1988,1(4):321-331
[2] Caselles V,Kimmel R,Sapiro G.Geodesic active contours[J].International Journal of Computer Vision,1997,22(1):61-79
[3] Li Chun-ming,Xu Chen-yang,Gui Chang-feng,et al.Level setformulation without Re-initialization:a new variational formulation[C]∥Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR).2005:430-436
[4] Chan T,Vese L.Active contours without edges[J].IEEETrans.Imag.Proc.,2001,10:266-277
[5] Li Chun-ming,Kao Chiu-yen,Gore J C,et al.Implicit active contours driven by local binary fitting energy[C]∥IEEE Conference on Computer Vision and Pattern Recognition.2007:17-22
[6] Li Chun-ming,Kao Chiu-yen,Gore J C,et al.Minimization of region-scalable fitting energy for image segmentation[J].IEEE Transactions on Image Processing,2008,17:1940-1949
[7] Zhang Kai-hua,Song Hui-hui,Zhang Lei.Active contours drivenby local image fitting energy[J].Pattern Recognition,2010,43:1199-1206
[8] Liu Shi-gang,Peng Ya-li.A local region-based Chan-Vese model for image segmentation[J].Pattern Recognition,2012,45:2769-2779
[9] 吴继明,朱学峰,熊建文,等.图像分割中局部能量驱动的快速主动轮廓模型[J].光电子· 激光,2010,21(1):140-143
[10] 杨名宇,丁欢,赵博,等.结合邻域信息的Chan-Vese模型图像分割[J].计算机辅助设计与图形学学报,2011,23(3):413-418
[11] Wang Li,He Lei,Mishra A,et al.Active contours driven by local Gaussian distribution fitting energy[J].Signal Processing,2009,89:2435-2447
[12] 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,2013,0(7):289-292,6
[13] 陈强,何传江.全局和局部拟合的活动轮廓模型[J].计算机工程与应用,2011,47(11):204-206
[14] Wang Li,Li Chun-ming,Sun Quan-sen,et al.Active contoursdriven by local and global intensity fitting energy with application to brain MR image segmentation[J].Computerized Medical Imaging and Graphics,2009,33(7):520-531
[15] Wang Xiao-feng,Huang De-shuang,Xu Huan.An efficient local Chan-Vese model for image segmentation[J].Pattern Recognition,2010,43:603-618
[16] Evans L.Partial Differential Equations[M].Providence:American Mathematical Society,1998

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!