A custom grow-cut based scheme for 2D-gel image segmentation

Eirini Kostopoulou, Stamos Katsigiannis, Dimitris Maroulis

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

Abstract

This work introduces a novel method for the detection and segmentation of protein spots in 2D-gel images. A multi-thresholding approach is utilized for the detection of protein spots, while a custom grow-cult algorithm combined with region growing and morphological operators is used for the segmentation process. The experimental evaluation against four state-of-the-art 2D-gel image segmentation algorithms demonstrates the superiority of the proposed approach and indicates that it constitutes an advantageous and reliable solution for 2D-gel image analysis.

Original languageEnglish
Title of host publication37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
PublisherIEEE
Pages2407-10
Number of pages4
Volume2015
ISBN (Electronic)978-1-4244-9271-8
DOIs
Publication statusPublished - 2015
Externally publishedYes

Publication series

Name
ISSN (Print)1094-687X
ISSN (Electronic)1558-4615

Fingerprint

Gels
Proteins

Keywords

  • Algorithms
  • Electrophoresis, Gel, Two-Dimensional
  • Image Processing, Computer-Assisted
  • Proteomics
  • Journal Article
  • Research Support, Non-U.S. Gov't

Cite this

Kostopoulou, E., Katsigiannis, S., & Maroulis, D. (2015). A custom grow-cut based scheme for 2D-gel image segmentation. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 (Vol. 2015, pp. 2407-10). IEEE. https://doi.org/10.1109/EMBC.2015.7318879
Kostopoulou, Eirini ; Katsigiannis, Stamos ; Maroulis, Dimitris. / A custom grow-cut based scheme for 2D-gel image segmentation. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 . Vol. 2015 IEEE, 2015. pp. 2407-10
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abstract = "This work introduces a novel method for the detection and segmentation of protein spots in 2D-gel images. A multi-thresholding approach is utilized for the detection of protein spots, while a custom grow-cult algorithm combined with region growing and morphological operators is used for the segmentation process. The experimental evaluation against four state-of-the-art 2D-gel image segmentation algorithms demonstrates the superiority of the proposed approach and indicates that it constitutes an advantageous and reliable solution for 2D-gel image analysis.",
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Kostopoulou, E, Katsigiannis, S & Maroulis, D 2015, A custom grow-cut based scheme for 2D-gel image segmentation. in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 . vol. 2015, IEEE, pp. 2407-10. https://doi.org/10.1109/EMBC.2015.7318879

A custom grow-cut based scheme for 2D-gel image segmentation. / Kostopoulou, Eirini; Katsigiannis, Stamos; Maroulis, Dimitris.

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 . Vol. 2015 IEEE, 2015. p. 2407-10.

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

TY - GEN

T1 - A custom grow-cut based scheme for 2D-gel image segmentation

AU - Kostopoulou, Eirini

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AU - Maroulis, Dimitris

PY - 2015

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N2 - This work introduces a novel method for the detection and segmentation of protein spots in 2D-gel images. A multi-thresholding approach is utilized for the detection of protein spots, while a custom grow-cult algorithm combined with region growing and morphological operators is used for the segmentation process. The experimental evaluation against four state-of-the-art 2D-gel image segmentation algorithms demonstrates the superiority of the proposed approach and indicates that it constitutes an advantageous and reliable solution for 2D-gel image analysis.

AB - This work introduces a novel method for the detection and segmentation of protein spots in 2D-gel images. A multi-thresholding approach is utilized for the detection of protein spots, while a custom grow-cult algorithm combined with region growing and morphological operators is used for the segmentation process. The experimental evaluation against four state-of-the-art 2D-gel image segmentation algorithms demonstrates the superiority of the proposed approach and indicates that it constitutes an advantageous and reliable solution for 2D-gel image analysis.

KW - Algorithms

KW - Electrophoresis, Gel, Two-Dimensional

KW - Image Processing, Computer-Assisted

KW - Proteomics

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

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DO - 10.1109/EMBC.2015.7318879

M3 - Conference contribution

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BT - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015

PB - IEEE

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Kostopoulou E, Katsigiannis S, Maroulis D. A custom grow-cut based scheme for 2D-gel image segmentation. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 . Vol. 2015. IEEE. 2015. p. 2407-10 https://doi.org/10.1109/EMBC.2015.7318879