An Automated Image Segmentation Framework Using Fractional Calculus and Improved Pigeon Swarm Optimization with 2D Otsu Thresholding
Abstract
Research has proposed an automated image segmentation algorithm AIS-IPTSA-FC, which combines the U-Net active contour model enhanced by fractional calculus (FC), the improved traditional pigeon swarm algorithm (IPTSA), and the two-dimensional Otsu algorithm (2D-OA). This method has been validated on the SiftFlow and OASIS-3 datasets. The experimental results demonstrated that this hybrid algorithm achieved a segmentation accuracy of over 0.99 on the SiftFlow dataset, surpassing mainstream algorithms. In practical applications, this method performed well: in natural landscape images, the average values of structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), and mean squared error (MSE) were 0.36, 10.79, and 5501.61, respectively. In medical images, the corresponding indicators were 0.0086, 6.84, and 7976.47, respectively. The above results demonstrate that the research method can effectively achieve image segmentation under complex conditions and provide a reliable foundation for the development of multi domain intelligent systems.
DOI:
https://doi.org/10.31449/inf.v49i30.12459Downloads
Published
How to Cite
Issue
Section
License
I assign to Informatica, An International Journal of Computing and Informatics ("Journal") the copyright in the manuscript identified above and any additional material (figures, tables, illustrations, software or other information intended for publication) submitted as part of or as a supplement to the manuscript ("Paper") in all forms and media throughout the world, in all languages, for the full term of copyright, effective when and if the article is accepted for publication. This transfer includes the right to reproduce and/or to distribute the Paper to other journals or digital libraries in electronic and online forms and systems.
I understand that I retain the rights to use the pre-prints, off-prints, accepted manuscript and published journal Paper for personal use, scholarly purposes and internal institutional use.
In certain cases, I can ask for retaining the publishing rights of the Paper. The Journal can permit or deny the request for publishing rights, to which I fully agree.
I declare that the submitted Paper is original, has been written by the stated authors and has not been published elsewhere nor is currently being considered for publication by any other journal and will not be submitted for such review while under review by this Journal. The Paper contains no material that violates proprietary rights of any other person or entity. I have obtained written permission from copyright owners for any excerpts from copyrighted works that are included and have credited the sources in my article. I have informed the co-author(s) of the terms of this publishing agreement.
Copyright © Slovenian Society Informatika
