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@article{ART002419220},
author={Yu Jeong Min},
title={Noisy Image Segmentation via Swarm-based Possibilistic C-means},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={12},
pages={35-41},
doi={10.9708/jksci.2018.23.12.035}

TY - JOUR
AU - Yu Jeong Min
TI - Noisy Image Segmentation via Swarm-based Possibilistic C-means
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 12
PB - The Korean Society Of Computer And Information
SP - 35
EP - 41
SN - 1598-849X
AB - In this paper, we propose a swarm-based possibilistic c-means(PCM) algorithm in order to overcome the problems of PCM, which are sensitiveness of clustering performance due to initial cluster center’s values and producing coincident or close clusters. To settle the former problem of PCM, we adopt a swam-based global optimization method which can be provided the optimal initial cluster centers. Furthermore, to settle the latter problem of PCM, we design an adaptive thresholding model based on the optimized cluster centers that yields preliminary clustered and un-clustered dataset. The preliminary clustered dataset plays a role of preventing coincident or close clusters and the un-clustered dataset is lastly clustered by PCM. From the experiment, the proposed method obtains a better performance than other PCM algorithms on a simulated magnetic resonance(MR) brain image dataset which is corrupted by various noises and bias-fields.
KW - Noisy Image Segmentation;Possibilistic c-means;Swarm-based Clustering;MR brain Image;Noise level.
DO - 10.9708/jksci.2018.23.12.035
ER -

Yu Jeong Min. (2018). Noisy Image Segmentation via Swarm-based Possibilistic C-means. Journal of The Korea Society of Computer and Information, 23(12), 35-41.

Yu Jeong Min. 2018, "Noisy Image Segmentation via Swarm-based Possibilistic C-means", Journal of The Korea Society of Computer and Information, vol.23, no.12 pp.35-41. Available from: doi:10.9708/jksci.2018.23.12.035

Yu Jeong Min "Noisy Image Segmentation via Swarm-based Possibilistic C-means" Journal of The Korea Society of Computer and Information 23.12 pp.35-41 (2018) : 35.

Yu Jeong Min. Noisy Image Segmentation via Swarm-based Possibilistic C-means. 2018; 23(12), 35-41. Available from: doi:10.9708/jksci.2018.23.12.035

Yu Jeong Min. "Noisy Image Segmentation via Swarm-based Possibilistic C-means" Journal of The Korea Society of Computer and Information 23, no.12 (2018) : 35-41.doi: 10.9708/jksci.2018.23.12.035

Yu Jeong Min. Noisy Image Segmentation via Swarm-based Possibilistic C-means. Journal of The Korea Society of Computer and Information, 23(12), 35-41. doi: 10.9708/jksci.2018.23.12.035

Yu Jeong Min. Noisy Image Segmentation via Swarm-based Possibilistic C-means. Journal of The Korea Society of Computer and Information. 2018; 23(12) 35-41. doi: 10.9708/jksci.2018.23.12.035

Yu Jeong Min. Noisy Image Segmentation via Swarm-based Possibilistic C-means. 2018; 23(12), 35-41. Available from: doi:10.9708/jksci.2018.23.12.035

Yu Jeong Min. "Noisy Image Segmentation via Swarm-based Possibilistic C-means" Journal of The Korea Society of Computer and Information 23, no.12 (2018) : 35-41.doi: 10.9708/jksci.2018.23.12.035