A study of medical image segmentation technique using active contour model based on morphological gradient: With some synthetic images

H. C. Kim, S. W. Park, S. B. Cho, Y. H. Seol, J. S. Oh, J. M. Gu, J. H. Seol, J. S. Yu, Min Gi Kim, Kyung Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Snake, also known as the Active Contour Model, is an actively developing research area for the image segmentation algorithm. Gradient Vector Flow (GVF) Snake resolved the problems associated with the initialization and concave region resulting from using the gradient vector flow as the external force. However, the problem resides in the use of Gaussian filtering that result in blurring effect on the object boundary. Consequently we have difficulties to find exact contour of the object boundary. In order to resolve this problem, the morphological gradient was used for a new edge map to create an external force more precise than that formed through the GVF Snake. For this experiment, we used three different types of synthetically generated images. All of the comparison tests were carried out under the same conditions (i.e. with same parameters in the GVF Snake algorithm) that result in the GVF Snake made the optimal movement. Even though, the improvements of our algorithm are clearly observed in the results. We evaluated the results with estimation error and minimum distance error.

Original languageEnglish
Title of host publicationIFMBE Proceedings
EditorsSun I. Kim, Tae Suk Suh
PublisherSpringer Verlag
Pages2556-2559
Number of pages4
Edition1
ISBN (Print)9783540368397
DOIs
Publication statusPublished - 2007
Event10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 - Seoul, Korea, Republic of
Duration: 2006 Aug 272006 Sep 1

Publication series

NameIFMBE Proceedings
Number1
Volume14
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Other

Other10th World Congress on Medical Physics and Biomedical Engineering, WC 2006
CountryKorea, Republic of
CitySeoul
Period06/8/2706/9/1

Keywords

  • Active contour model
  • Morphological gradient
  • Segmentation
  • Snake

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'A study of medical image segmentation technique using active contour model based on morphological gradient: With some synthetic images'. Together they form a unique fingerprint.

  • Cite this

    Kim, H. C., Park, S. W., Cho, S. B., Seol, Y. H., Oh, J. S., Gu, J. M., Seol, J. H., Yu, J. S., Kim, M. G., & Sun, K. (2007). A study of medical image segmentation technique using active contour model based on morphological gradient: With some synthetic images. In S. I. Kim, & T. S. Suh (Eds.), IFMBE Proceedings (1 ed., pp. 2556-2559). (IFMBE Proceedings; Vol. 14, No. 1). Springer Verlag. https://doi.org/10.1007/978-3-540-36841-0_644