Paper
30 April 2004 Mobility enhancement and assessment for a visual prosthesis
Author Affiliations +
Abstract
This paper investigates methods of processing mobility related static images to enhance the effectiveness of a visual prosthesis system. Eight images were processed into 50x50 pixel binary, greyscale, Sobel and Canny edge detected images. 10 subjects were asked 5 mobility related identification tasks for each (randomly ordered) image. Results indicate that edge detection may be useful at this resolution. However, there was not a significant difference found between the results achieved using the Canny and Sobel algorithms. These results support the development of an adaptive device. A mobility display framework has been proposed to assist in this development. Future work will focus on processing image sequences and the development of a visual prosthesis simulation device.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason A. Dowling, Anthony Maeder, and Wageeh Boles "Mobility enhancement and assessment for a visual prosthesis", Proc. SPIE 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, (30 April 2004); https://doi.org/10.1117/12.534866
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CITATIONS
Cited by 29 scholarly publications.
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KEYWORDS
Visualization

Edge detection

Image processing

Binary data

Information visualization

Image resolution

Image enhancement

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