Adapting illustrations for people with low vision via edge detection methods

Rostyslav Zatserkovnyi; Roksoliana Zatserkovna; Volodymyr Maik

doi:10.1117/12.3009627

5 January 2024 Adapting illustrations for people with low vision via edge detection methods

Rostyslav Zatserkovnyi, Roksoliana Zatserkovna, Volodymyr Maik

Proceedings Volume 12938, Sixteenth International Conference on Correlation Optics; 129380L (2024) https://doi.org/10.1117/12.3009627
Event: International Conference Correlation Optics (COR 2023), 2023, Chernivtsi, Ukraine

Abstract

Edge detection is an image processing technique used to identify and highlight the boundaries of different objects or regions in an image. In this paper, we propose a novel application for edge detection – adapting illustrations in both print and electronic publications to make them accessible to people with low vision. Normally, many illustrations can be problematic for people with low vision due to insufficient contrast, small details or densely packed visual elements. We showcase how with the help of several different edge detection algorithms these illustrations can be converted into clean, simplified lineart.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rostyslav Zatserkovnyi, Roksoliana Zatserkovna, and Volodymyr Maik "Adapting illustrations for people with low vision via edge detection methods", Proc. SPIE 12938, Sixteenth International Conference on Correlation Optics, 129380L (5 January 2024); https://doi.org/10.1117/12.3009627

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