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Recent Advances in Corneal Imaging
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Author(s): A. Elbita (Bradford University, UK), R. Qahwaji (Bradford University, UK), S. Ipson (Bradford University, UK), T. Y. Ahmed (Bradford University, UK), K. Ramaesh (Bradford University, UK)and T. Colak (Bradford University, UK)
Copyright: 2011
Pages: 17
Source title:
Applied Signal and Image Processing: Multidisciplinary Advancements
Source Author(s)/Editor(s): Rami Qahwaji (University of Bradford, UK), Roger Green (University of Warwick, UK)and Evor L. Hines (University of Warwick, UK)
DOI: 10.4018/978-1-60960-477-6.ch016
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Abstract
This chapter details work with sequences of corneal images from a confocal microscope to develop enhancement methods to improve the visual quality of the images. Due to involuntary movements of the subject’s eye during image capture, the images suffer both lateral and longitudinal translations, and work is ongoing to attempt to register adjacent images in the sequence. Currently this registration uses an approach based on the Scale Invariant Feature Transforms (SIFT) algorithm. Registration is a necessary stage in the construction of a 3D model of the subject’s cornea for use as a diagnostic aid. The algorithms, results, progress and suggestions for future work are presented in this chapter.
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