Proceedings of the International e-Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023)

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Fuzzy C-Means Approach Optimized using Raindrop Algorithm for Image Segmentation

Authors
Bindu Puthentharayil Vikraman1, *, Jabeena Afthab1
1SENSE, Vellore Institute of Technology, Vellore, PIN. 632014, India
*Corresponding author. Email: bindup2005@gmail.com
Corresponding Author
Bindu Puthentharayil Vikraman
Available Online 21 December 2023.
DOI
10.2991/978-94-6463-314-6_4How to use a DOI?
Keywords
FCM; Fuzzy c-means; Raindrop algorithm; Image segmentation
Abstract

Medical image segmentation is critical in advancing healthcare systems, notably disease finding and medication scheduling. Because of its simplicity and efficacy, fuzzy c-means-based clustering emerged as an efficient algorithm for lesion extraction. The downsides of FCM include its sensitivity to beginning values, quick descent on local minima, and noise exposure. This study proposes a raindrop optimization idea, a soft clustering-based medical image segmentation algorithm with a noise reduction mechanism. A hybrid filter is a smoothing filter to exclude any potential interference in the image. The procedure implemented in MATLAB software detects and extracts tumors from brain magnetic resonance images from the BraTS data set. A comparative study of the proposed method with some cluster-based segmentation techniques reveals that the suggested system performs significantly better than the current cluster-based segmentation methods.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International e-Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
21 December 2023
ISBN
978-94-6463-314-6
ISSN
2589-4900
DOI
10.2991/978-94-6463-314-6_4How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bindu Puthentharayil Vikraman
AU  - Jabeena Afthab
PY  - 2023
DA  - 2023/12/21
TI  - Fuzzy C-Means Approach Optimized using Raindrop Algorithm for Image Segmentation
BT  - Proceedings of the International e-Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2023)
PB  - Atlantis Press
SP  - 33
EP  - 44
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-314-6_4
DO  - 10.2991/978-94-6463-314-6_4
ID  - Vikraman2023
ER  -