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An Improved Particle Swarm Optimization Method for Color Image Segmentation

V. Sheshathri1 , S. Sukumaran2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 118-124, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.118124

Online published on Jan 31, 2019

Copyright © V. Sheshathri, S. Sukumaran . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: V. Sheshathri, S. Sukumaran, “An Improved Particle Swarm Optimization Method for Color Image Segmentation,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.118-124, 2019.

MLA Style Citation: V. Sheshathri, S. Sukumaran "An Improved Particle Swarm Optimization Method for Color Image Segmentation." International Journal of Computer Sciences and Engineering 7.1 (2019): 118-124.

APA Style Citation: V. Sheshathri, S. Sukumaran, (2019). An Improved Particle Swarm Optimization Method for Color Image Segmentation. International Journal of Computer Sciences and Engineering, 7(1), 118-124.

BibTex Style Citation:
@article{Sheshathri_2019,
author = {V. Sheshathri, S. Sukumaran},
title = {An Improved Particle Swarm Optimization Method for Color Image Segmentation},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {118-124},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3471},
doi = {https://doi.org/10.26438/ijcse/v7i1.118124}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.118124}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3471
TI - An Improved Particle Swarm Optimization Method for Color Image Segmentation
T2 - International Journal of Computer Sciences and Engineering
AU - V. Sheshathri, S. Sukumaran
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 118-124
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

Color image segmentation can be treated as a process of dividing a color image into some constituent regions. This paper presents color image segmentation method using an Improved Particle Swarm Optimization (IPSO). The RGB color image taken as an input image and remove the noise using Gaussian filter. The obtained preprocessed image the components are separated and find the object regions separately. All the ungrouped pixels would be detected and put in the nearest region. The main purpose of proposed IPSO method is used to find the best values of thresholds, particles and position that can give us an appropriate partition for a target image. This method tries to treat pixels as particles and provide them search space and motivated with IPSO. It findings to better optimized region and produces more accurate segmentation results for color images. The proposed method is tested on different single and group of color images are taken as the input image and the experimental results demonstrate its effectiveness.

Key-Words / Index Term

IPSO, Gaussian Filter, Color Component

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