CPSOGSA for Multilevel Image Thresholding
Version 1.1 (101 KB) von
Sajad Ahmad Rather
CPSOGSA is employed to find the optimal pixels in the benchmark images
This work introduces a new image segmentation method based on the constriction coefficient-based particle swarm optimization and gravitational search algorithm (CPSOGSA). The random samples of the image act as searcher agents of the CPSOGSA algorithm. The optimal number of thresholds is determined using Kapur's entropy method. The effectiveness and applicability of CPSOGSA in image segmentation is accomplished by applying it to five standard images from the USC-SIPI image database, namely Aeroplane, Cameraman, Clock, Lena, and Pirate.
This is the source code of the paper:
Rather, S. A., & Bala, P. S. (2021), “Constriction Coefficient Based Particle Swarm Optimization and Gravitational Search Algorithm for Multilevel Image Thresholding”, Expert Systems, https://doi.org/10.1111/exsy.12717, Wiley, SCIE (I.F = 2.587).
If you have no access to the paper, please drop me an email at sajad.win8@gmail.com and I will obviously send you the paper. All of the source codes and extra information as well as more optimization techniques can be found in my Github page at https://github.com/SajadAHMAD1.
My other Social Media Link(s)/Accounts:
1) GitHub: https://github.com/SajadAHMAD1
4) Facebook: https://www.facebook.com/sajad.a.rather.54
5) Instagram: https://www.instagram.com/sajad_ahmad_rather123/
6) Twitter: https://twitter.com/sajad_win8
7) Google Scholar: https://scholar.google.co.in/citations?user=fBc0vbcAAAAJ&hl=en
9) Researchgate: https://www.researchgate.net/profile/Sajad_Rather5
10) Academia.edu: https://pondiuni-anthropology.academia.edu/SAJADRATHER
12) ORCiD: https://orcid.org/0000-0002-0351-7705
13) Gmail: sajad.win8@gmail.com
Zitieren als
Rather, Sajad Ahmad, and P. Shanthi Bala. “Constriction Coefficient Based Particle Swarm Optimization and Gravitational Search Algorithm for Multilevel Image Thresholding.” Expert Systems, Wiley, May 2021, doi:10.1111/exsy.12717.
Kompatibilität der MATLAB-Version
Erstellt mit
R2016a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS LinuxTags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.1 | See release notes for this release on GitHub: https://github.com/SajadAHMAD1/CPSOGSA-for-Multilevel-Image-Thresholding/releases/tag/1.1 |
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.