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@OCVL

Ocular and Computer Vision Laboratory

The OCVL endeavors to understand vision in health and disease by imaging the retina non-invasively and analyzing the resultant images using computer vision.

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  1. F-Cell F-Cell Public

    Forked from Eurybiadan/F-Cell

    F(Cell) - Function of the Cell

    Python 3 1

  2. AOAutomontaging AOAutomontaging Public

    Forked from BrainardLab/AOAutomontaging

    Automontaging for AO images

    C

  3. Full-Auto-Density-Mapping Full-Auto-Density-Mapping Public

    A repository that implements a fully automated approach for estimating density, and spacing both in single images and in montages.

    MATLAB 1 1

  4. AIQ AIQ Public

    The reference implementation of the image quality metric in Brennan, B.D. "Quantifying Image Quality for AOSLO Images"

    Python 1

  5. IOLM_Parser IOLM_Parser Public

    A repository that facilitates the parsing and extraction of information from IOLMaster PDFs.

    Python 3

  6. Metricks Metricks Public

    Forked from Eurybiadan/Metricks

    A repository containing validated coordinate structure measurements. All of these metrics are designed for adaptive optics ophthalmoscope images.

    MATLAB 1 1

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