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Proceedings Paper

Mobility enhancement and assessment for a visual prosthesis
Author(s): Jason A. Dowling; Anthony Maeder; Wageeh Boles
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Paper 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.

Paper Details

Date Published: 30 April 2004
PDF: 12 pages
Proc. SPIE 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, (30 April 2004); doi: 10.1117/12.534866
Show Author Affiliations
Jason A. Dowling, Queensland Univ. of Technology (Australia)
Anthony Maeder, Queensland Univ. of Technology (Australia)
Wageeh Boles, Queensland Univ. of Technology (Australia)


Published in SPIE Proceedings Vol. 5369:
Medical Imaging 2004: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

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