Retina Mosaicing Using Local Features
Abstract
Laser photocoagulation is a proven procedure to treat various pathologies of the retina. Challenges such as motion compensation, correct energy dosage, and avoiding incidental damage are responsible for the still low success rate. They can be overcome with improved instrumentation, such as a fully automatic laser photocoagulation system. In this paper, we present a core image processing element of such a system, namely a novel approach for retina mosaicing. Our method relies on recent developments in region detection and feature description to automatically fuse retina images. In contrast to the state-of-the-art the proposed approach works even for retina images with no discernable vascularity. Moreover, an efficient scheme to determine the blending masks of arbitrarily overlapping images for multi-band blending is presented.
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Super-Resolved Retinal Image MosaicingPreprint
Köhler, T., Heinrich, A., Maier, A., Joachim Hornegger, A., & Tornow, R. P. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1602.03458
- Authors
- Cattin, P. C., Bay, H., Van Gool, L., & Székely, G.
- Affiliations
- ETH Zurich (CH)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2006
- Volume
- 9
- Issue
- Pt 2
- Pages
- 185-192
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2125524382
- Cited by
- 75
- References
- 22
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 6 · 2018: 5 · 2017: 6 · 2016: 9 · 2015: 6 · 2014: 5 · 2013: 5 · 2012: 4
- FWCI
- 7.42
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
- Physical Sciences › Engineering › Media Technology › Advanced Image Fusion Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Keywords
- laser photocoagulation, local features, region detection, feature description, image fusion, fundus images, motion compensation
- MeSH terms
- Algorithms, Artificial Intelligence, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Motion, Ophthalmoscopy, Pattern Recognition, Automated, Photography, Retina, Sensitivity and Specificity, Reproducibility of Results, Information Storage and Retrieval
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