Mobility enhancement and assessment for a visual prosthesis

Jason Dowling, Anthony Maeder, Wageeh Boles

Research output: Contribution to journalConference articlepeer-review

29 Citations (Scopus)


This paper investigates methods of processing mobility related static images to enhance the effectiveness of a visual prosthesis system. Eight images were processed into 50×50 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.

Original languageEnglish
Pages (from-to)780-791
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 5 Jul 2004
Externally publishedYes
EventMedical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: 15 Feb 200417 Feb 2004


  • Artificial human vision
  • Blind mobility
  • Image processing
  • Visual prosthesis


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