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Mobility enhancement and assessment for a visual prosthesis

Dowling, Jason A. & Maeder, Anthony J. (2004) Mobility enhancement and assessment for a visual prosthesis. In Amini, Amir A. & Manduca, Armando (Eds.) SPIE Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, 14-19 February 2004, San Diego.

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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.

Impact and interest:

12 citations in Scopus
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2 citations in Web of Science®

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Full-text downloads:

316 since deposited on 28 Jun 2007
37 in the past twelve months

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ID Code: 8305
Item Type: Conference Paper
Additional URLs:
Keywords: Artificial human vision, visual prosthesis, blind mobility, image processing
DOI: 10.1117/12.534866
ISBN: 9780819452825
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300) > Rehabilitation Engineering (090305)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2004 SPIE
Copyright Statement: : Reproduced in accordance with the copyright policy of the publisher : This journal is available online.
Deposited On: 28 Jun 2007
Last Modified: 09 Jun 2010 22:42

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