A NEW METHOD FOR BRAIN MRI IMAGE SEGMENTATION BASED ON FUZZY C-MEANS (FCM) ALGORITHM IMPROVED BY WATER WAVE OPTIMIZATION ( WWO ) ALGORITHM

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Mirderikvandi Zeinab

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Seminar Paper

Paper Information

Seminar: CONFERENCE ON RECENT RESEARCH IN SCIENCE AND TECHNOLOGY
Year:2020 | Issue:19

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Title

A NEW METHOD FOR BRAIN MRI IMAGE SEGMENTATION BASED ON FUZZY C-MEANS (FCM) ALGORITHM IMPROVED BY WATER WAVE OPTIMIZATION ( WWO ) ALGORITHM

Author(s)

Mirderikvandi Zeinab

Keywords

IMAGES MAGNETIC RESONANCE(MRI)

BRAIN TUMOR

FUZZY C-MEANS CLUSTERING(FCM)

WATER WAVE OPTIMIZATION (WWO) ALGORITHMS

Abstract

THE STRUCTURE OF THE BRAIN TISSUES COULD BE WELL STUDIED BY THE BRAIN MAGNETIC RESONANCE IMAGES (MRI). ONE OF THE AAPPLICATION OF MAGNETIC RESONANCE IMAGES OF THE BRAIN IS THE DIAGNOSIS OF BRAIN TUMORS BY SEGMENTATION AND CLUSTERING TECHNIQUES. ACCURATE DIAGNOSIS OF BRAIN TUMORS IS CONSIDERED TO BE ONE OF THE MAIN CHALLENGES IN SEGMENTATION TECHNIQUES. DUE TO POOR SENSITIVITY TO NOISE FUZZY CLUSTERING ALGORITHM IS ONE OF THE IMPORTANT METHODS SEGMENTATION OF BRAIN TUMORS. THE PRECISE SELECTION CLUSTER CENTERS IN FUZZY CLUSTERING ALGORITHM BY INITIALIZED THE MEMBERSHIP MATRIX KNOWN AS THE MAIN RESEARCH CHALLENGES BECAUSE THE ACCURACY OF THIS ALGORITHM IN IMAGES SEGMENTATION DEPENDS ON THE OPTIMAL MEMBERSHIP MATRIX. IN THIS STUDY, FOR MORE OPTIMAL SELECTION OF MEMBERSHIP MATRIX IN THE FUZZY CLUSTERING ALGORITHM, WATER WAVES OPTIMIZATION (WWO) ALGORITHM IS USED. OUR IMPLEMENTATION RESULTS ON A SET OF MAGNETIC RESONANCE IMAGES OF THE BRAIN IN THE BRATS DATA SET SHOWS THAT THE AVERAGE SET F MEASURES SUCH AS JACCARD INDEX, SIMILARITY INDEX, ACCURACY, SENSITIVITY AND SPECIFICITY IN THE PROPOSED METHOD ARE %25. 39, 235229, 2%5299, %25. 39 AND 2952. 9. THE SIMILARITY OF OUR PROPOSED IS BETTER THAN APPROACH TO SEGMENTATION PROCEDURES SUCH FCM, KFCM AND GFCM BECAUSE MEMBERSHIP MATRIX IS CALCULATED BY THE WATER WAVES OPTIMIZATION ALGORITHM AND THUS CLUSTER CENTERS ARE SELECTED MORE ACCURATE IN PROPOSED METHOD.

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APA: Copy

Mirderikvandi, Zeinab. (2020). A NEW METHOD FOR BRAIN MRI IMAGE SEGMENTATION BASED ON FUZZY C-MEANS (FCM) ALGORITHM IMPROVED BY WATER WAVE OPTIMIZATION ( WWO ) ALGORITHM. INTERNATIONAL CONFERENCE ON RECENT RESEARCH IN SCIENCE AND TECHNOLOGY. SID. https://sid.ir/paper/949489/en

Vancouver: Copy

Mirderikvandi Zeinab. A NEW METHOD FOR BRAIN MRI IMAGE SEGMENTATION BASED ON FUZZY C-MEANS (FCM) ALGORITHM IMPROVED BY WATER WAVE OPTIMIZATION ( WWO ) ALGORITHM. 2020. Available from: https://sid.ir/paper/949489/en

IEEE: Copy

Zeinab Mirderikvandi, “A NEW METHOD FOR BRAIN MRI IMAGE SEGMENTATION BASED ON FUZZY C-MEANS (FCM) ALGORITHM IMPROVED BY WATER WAVE OPTIMIZATION ( WWO ) ALGORITHM,” presented at the INTERNATIONAL CONFERENCE ON RECENT RESEARCH IN SCIENCE AND TECHNOLOGY. 2020, [Online]. Available: https://sid.ir/paper/949489/en

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