Artificial Intelligence

    

Microscopy Image Processing for the Human Eye

Authors: Zeyue Xia, Mohamad Nadim Barakat, Serri Matula, Zijun Hui, John Stavrakakis

Vivo confocal microscopy allows scientists to better understand eye health and systemic diseases. Microneuromas could play a role, however, monitoring their growth from a mosaic of images is error prone and time consuming. We used automated image stitching as a solution; focusing on accuracy and computational speed of three different feature detection algorithms: SIFT, SURF, and ORB. The results illustrated that SURF was computationally efficient with our data. Future investigation is to create a global solution that can replace the need for manual image stitching in this application.

Comments: 7 Pages. Computer Vision

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Submission history

[v1] 2020-07-13 20:05:01
[v2] 2020-07-14 11:02:40
[v3] 2020-12-29 20:10:57

Unique-IP document downloads: 550 times

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