Volume 9 Number 2 (Feb. 2014)
Home > Archive > 2014 > Volume 9 Number 2 (Feb. 2014) >
JSW 2014 Vol.9(2): 280-286 ISSN: 1796-217X
doi: 10.4304/jsw.9.2.280-286

A Fast Global Minimization of Region-Scalable Fitting Model for Medical Image Segmentation

Chang-Lei Dongye1, 2, Yong-Guo Zheng1, Dong-Huan Jiang1
1College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China
2College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, China

Abstract—Active contour model (ACM) which has been extensively studied recently is one of the most successful methods in image segmentation. The present paper advances an improved hybrid model based on Region- Scalable Fitting Model by combining global convex segmentation method with edge detector operator. The proposed model not only inherits the ability of RSF model to deal with the images with intensity inhomogeneity, but also overcomes such a drawback: existence of local minima because of non-convexity that makes the segmentation result highly dependent of the initial position of the contour. In addition, the paper exploits two fast numerical implementation schemes to overcome a huge amount of level set methods. The duality projection method is implemented by introducing dual variables which lead to semi-implicit iterative scheme of dual variables as well as exact formulation of primal variables. The Split-Bregman method is implemented by introducing auxiliary variables which transform the relaxed convex model into solving simple poisson equations and exact soft thresholding formulation. Experimental results for synthetic and real medical images prove that the proposed model is featured by greater numerical accuracy and faster division speed.

Index Terms—Region-Scalable fitting model, global convex segmentation, dual projection method, Split Bregman method, image inhomogeneity


Cite: Chang-Lei Dongye, Yong-Guo Zheng, Dong-Huan Jiang, "A Fast Global Minimization of Region-Scalable Fitting Model for Medical Image Segmentation," Journal of Software vol. 9, no. 2, pp. 280-286, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Nov 18, 2021 News!

    Papers published in JSW Vol 16, No 1- Vol 16, No 6 have been indexed by DBLP   [Click]

  • Dec 24, 2021 News!

     Vol 15, No 1- Vol 15, No 6 has been indexed by IET-(Inspec)   [Click]

  • Nov 18, 2021 News!

    [CFP] 2022 the annual meeting of JSW Editorial Board, ICCSM 2022, will be held in Rome, Italy, July 21-23, 2022   [Click]

  • Nov 25, 2022 News!

    Vol 17, No 6 has been published with online version     [Click]