GRAPH CUT SEGMENTATION METHOD AND ITS APPLICATION IN MEDICAL IMAGES

Authors

  • Alireza Norouzi UTM ViCubeLab, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia
  • Ismail Mat Amin UTM ViCubeLab, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia
  • Mohd Shafry Mohd Rahim MaGIC-X, UTM-IRDA Digital Media Centre, Universiti Teknologi Malaysia, Johor, Malaysia
  • Abdolvahab Ehsani Rad UTM ViCubeLab, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v75.5061

Keywords:

Graph cut, segmentation, image processing

Abstract

Graph cut is an interactive segmentation method. It works based on preparing graph from image and finds the minimum cut for the graph. The edges value is calculated based on belonging a pixel to object or background. The advantage of this method is using the cost function. If the cost function is clearly described, graph cut is presents a generally optimum result. In this paper graph concepts and preparing graph according to image pixels is described. Preparing different edges and performing min cut/max flow is explained. Finally, the method is applied on some medical images.  

References

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Booykov, Y. and G. Funka-Lea. 2006. Graph Cuts and Efficient N-D Image Segmentation. International Journal of Computer Vision. 70(2): 109-131.

Peng, B. and O. Veksler. 2008. Parameter Selection for Graph Cut based Image Segmentation. In British Machine Vision Conference. Leeds, UK. 1-4 September 2008. 16.1-16.10.

Kolmogorov, V., Y. I. Boykov and C. Rother. 2007. Applications of Parametric Maxflow in Computer Vision. In IEEE 11th International Conference on Computer Vision (ICCV 2007). Rio de Janeiro. 14-21 October 2007. 1-8.

Ford, L. and D. Fulkerson. 1962. Flows in Networks: Princeton University Press.

Goldberg, A.V. and R.E. Tarjan. 1988. A New Approach to the Maximum-Flow Problem. Journal of the Association for Computing Machinery. 35(4): 921-940.

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Published

2015-07-29

Issue

Section

Science and Engineering

How to Cite

GRAPH CUT SEGMENTATION METHOD AND ITS APPLICATION IN MEDICAL IMAGES. (2015). Jurnal Teknologi (Sciences & Engineering), 75(4). https://doi.org/10.11113/jt.v75.5061