International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2572

Full Length Research Paper

Performance metrics for active contour models in image segmentation

Hum Yan Chai*, Teng Jih Bao, Lai Khin Wee, Tan Tian Swee and Sh-Hussain Salleh
  1Centre for Biomedical Engineering, Faculty of Health Science and Biomedical Engineering, Universiti Teknologi Malaysia, Skudai, 81310, Johor, Malaysia. 2Biomedical Engineering Group, Institute of Biomedical Engineering and Informatics, Faculty of Computer Science and Automation, Technische Univeristat Ilmenau, Germany.
Email: [email protected]

  •  Accepted: 28 September 2011
  •  Published: 02 November 2011



Image segmentation is one of the significant techniques in image processing to distinguish desired parts from its background for further analysis. It provides visual means for inspection of anatomical structure of human body, identification of disease, tracking of its development and input for surgical planning and simulation. Active contour models are regarded as promising and vigorously research model-based approach to computer assisted medical image analysis. However, it is not trivial to assess whether one segmentation algorithm performs more superior than the other. Therefore, a systematic assessment tool is designed and implemented to examine all the important aspects of active contour models. Meanwhile, a novel supervised evaluator including analytical method and empirical methods are proposed to acts as objective evaluator.  The obtained results highlighted both the strengths and limitations of the studied active contour models. A proper area usage of each active contour model is also suggested at the end of this paper.


Key words: Active contour models, assessment tool, image segmentation, objective evaluation.