Vision-Based magnification of corneal endothelium frames

Authors:
Dario Comanducci;Carlo Colombo
Affiliations:
Computational Vision Group, Dipartimento di Ingegneria dell'Informazione, Università di Firenze, Firenze, Italy;Computational Vision Group, Dipartimento di Ingegneria dell'Informazione, Università di Firenze, Firenze, Italy
Venue:
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Year:
2013

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Abstract

We present a fast and effective method to compute a high-resolution image of the corneal endothelium starting from a low-resolution video sequence obtained with a general purpose biomicroscope. Our goal is to exploit information redundancy in the sequence so as to achieve via software a magnification power and an image quality typical of dedicated hardware, such as the confocal microscope. The method couples SVM training with graph-based registration, and explicitly takes into account the characteristics of the application domain. Results on long, real sequences and comparative tests against general-purpose super-resolution approaches are presented and discussed.