FUZZY C-MEANS CLUSTERING BASED ON GAUSSIAN SPATIAL INFORMATION FOR BRAIN MR IMAGE SEGMENTATION

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Biniaz Abbas; ABBASI ATAOLLAH; MOUSAVI SHAMSI ALSADAT; EBRAHIMI AFSHIN

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Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2012 | Issue:19

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Title

FUZZY C-MEANS CLUSTERING BASED ON GAUSSIAN SPATIAL INFORMATION FOR BRAIN MR IMAGE SEGMENTATION

Author(s)

Biniaz Abbas | ABBASI ATAOLLAH | MOUSAVI SHAMSI ALSADAT | EBRAHIMI AFSHIN

Keywords

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Abstract

CONVENTIONAL FUZZY C-MEANS (FCM) ALGORITHM IS HIGHLY VULNERABLE TO NOISE DUE TO NOT CONSIDER THE SPATIAL INFORMATION IN IMAGE SEGMENTATION. THIS PAPER AIMS TO DEVELOP A GAUSSIAN SPATIAL FCM (GSFCM) FOR THE SEGMENTATION OF BRAIN MAGNETIC RESONANCE (MR) IMAGES. THE PROPOSED ALGORITHM USES FUZZY SPATIAL INFORMATION TO UPDATE FUZZY MEMBERSHIP WITH A GAUSSIAN FUNCTION. PROPOSED METHOD HAS LESS SENSITIVITY TO NOISE SPECIFICALLY IN TISSUE BOUNDARIES, ANGLES AND BORDERS THAN SPATIAL FCM (SFCM). FURTHERMORE BY THE PROPOSED ALGORITHM A PIXEL WHICH IS ANATOMICALLY A DISTINCT TISSUE FOR EXAMPLE A TUMOR IN PRELIMINARY STAGES OF ITS APPEARANCE, HAS MORE CHANCE TO BE A UNIQUE CLUSTER. THE QUANTITATIVE ASSESSMENT OF PRESENTED FCM TECHNIQUES IS EVALUATED BY CONVENTIONAL VALIDITY FUNCTIONS. EXPERIMENTAL RESULTS SHOW THE EFFICIENCY OF PROPOSED ALGORITHM IN SEGMENTATION OF MR IMAGES

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APA: Copy

Biniaz, Abbas, ABBASI, ATAOLLAH, MOUSAVI, SHAMSI ALSADAT, & EBRAHIMI, AFSHIN. (2012). FUZZY C-MEANS CLUSTERING BASED ON GAUSSIAN SPATIAL INFORMATION FOR BRAIN MR IMAGE SEGMENTATION. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/926107/en

Vancouver: Copy

Biniaz Abbas, ABBASI ATAOLLAH, MOUSAVI SHAMSI ALSADAT, EBRAHIMI AFSHIN. FUZZY C-MEANS CLUSTERING BASED ON GAUSSIAN SPATIAL INFORMATION FOR BRAIN MR IMAGE SEGMENTATION. 2012. Available from: https://sid.ir/paper/926107/en

IEEE: Copy

Abbas Biniaz, ATAOLLAH ABBASI, SHAMSI ALSADAT MOUSAVI, and AFSHIN EBRAHIMI, “FUZZY C-MEANS CLUSTERING BASED ON GAUSSIAN SPATIAL INFORMATION FOR BRAIN MR IMAGE SEGMENTATION,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2012, [Online]. Available: https://sid.ir/paper/926107/en

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