A modified FCM algorithm for fast segmentation of brain MR images

L. Szilágyi, S. M. Szilágyi, Z. Benyó

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

Automated brain MR image segmentation is a challenging problem and received significant attention lately. Several improvements have been made to the standard fuzzy c-means (FCM) algorithm, in order to reduce its sensitivity to Gaussian, impulse, and intensity non-uniformity noises. In this paper we present a modified FCM algorithm, which aims accurate segmentation in case of mixed noises, and performs at a high processing speed. The proposed method extracts a scalar feature value from the neighborhood of each pixel, using a filtering technique that deals with both spatial and gray level distances. These features are classified afterwards using the histogram-based approach of the enhanced FCM classifier. The experiments using synthetic phantoms and real MR images show, that the proposed method provides better results compared to other reported FCM-based techniques.

Original languageEnglish
Title of host publicationAdvances in Soft Computing
Pages119-127
Number of pages9
Volume41
DOIs
Publication statusPublished - 2007

Publication series

NameAdvances in Soft Computing
Volume41
ISSN (Print)16153871
ISSN (Electronic)18600794

Fingerprint

Brain
Image segmentation
Classifiers
Pixels
Processing
Experiments

ASJC Scopus subject areas

  • Computational Mechanics
  • Computer Science Applications
  • Computer Science (miscellaneous)

Cite this

Szilágyi, L., Szilágyi, S. M., & Benyó, Z. (2007). A modified FCM algorithm for fast segmentation of brain MR images. In Advances in Soft Computing (Vol. 41, pp. 119-127). (Advances in Soft Computing; Vol. 41). https://doi.org/10.1007/978-3-540-72432-2_13

A modified FCM algorithm for fast segmentation of brain MR images. / Szilágyi, L.; Szilágyi, S. M.; Benyó, Z.

Advances in Soft Computing. Vol. 41 2007. p. 119-127 (Advances in Soft Computing; Vol. 41).

Research output: Chapter in Book/Report/Conference proceedingChapter

Szilágyi, L, Szilágyi, SM & Benyó, Z 2007, A modified FCM algorithm for fast segmentation of brain MR images. in Advances in Soft Computing. vol. 41, Advances in Soft Computing, vol. 41, pp. 119-127. https://doi.org/10.1007/978-3-540-72432-2_13
Szilágyi L, Szilágyi SM, Benyó Z. A modified FCM algorithm for fast segmentation of brain MR images. In Advances in Soft Computing. Vol. 41. 2007. p. 119-127. (Advances in Soft Computing). https://doi.org/10.1007/978-3-540-72432-2_13
Szilágyi, L. ; Szilágyi, S. M. ; Benyó, Z. / A modified FCM algorithm for fast segmentation of brain MR images. Advances in Soft Computing. Vol. 41 2007. pp. 119-127 (Advances in Soft Computing).
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