Enhancing Conjunctival Vasculature Imaging: A Multi-Objective Cuckoo Search Approach for Contrast Enhancement Optimization
This automated enhancement technique may improve subsequent image segmentation and classification tasks in conjunctival imaging by optimizing contrast and noise reduction for each individual image, thus contributing to more reliable and efficient diagnostic procedures.
Authors
- Umut Kuran (ORCID: https://orcid.org/0000-0001-5508-1870)
- David Madrid‐Costa (ORCID: https://orcid.org/0000-0003-3927-2858)
- Clara Llorens‐Quintana (ORCID: https://orcid.org/0000-0003-4452-794X)
- Emre Can Kuran (ORCID: https://orcid.org/0000-0002-0987-3866)
Institutions
- Universidad Complutense de Madrid (ES)
- Bandırma Onyedi Eylül University (TR)
- Harran University (TR)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1167/tvst.14.9.36
- Primary Topic
- Ocular Surface and Contact Lens
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Instituto de Salud Carlos III