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.
Among many different domains such as entertainment, healthcare, education and biometrics, computer vision methods can be used in the field of assistive technologies, helping people with visual impairments overcome the challenges encountered in their day-to-day lives. This paper gives an overview of computer vision methods used in both software and hardware for the visually impaired.
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