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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

Identification of Optimum Image Capturing Technique for Corneal Segmentation—A Survey

verfasst von : H. James Deva Koresh, Shanty Chacko

Erschienen in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Verlag: Springer International Publishing

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Abstract

Segmentation of corneal layers plays an important role in diagnosing the corneal disease and it also helpful for planning the refractive surgeries when measuring the corneal layer thicknesses. There are several imaging instruments available for capturing the image of the cornea which can be used for segmentation and thickness measurement of corneal layers. The work describes the various available imaging instruments along with the necessity of imaging the cornea. It also suggests a reliable imaging method for capturing the cornea for segmentation by doing a comparative study. It will be helpful for identifying the best image capture method for implementing the image processing technique for further segmentation and measurement flow from the image.

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Metadaten
Titel
Identification of Optimum Image Capturing Technique for Corneal Segmentation—A Survey
verfasst von
H. James Deva Koresh
Shanty Chacko
Copyright-Jahr
2019
Buch
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_71

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