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 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 language | English |
|---|---|
| Pages (from-to) | 780-791 |
| Number of pages | 12 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5369 |
| DOIs | |
| Publication status | Published - 5 Jul 2004 |
| Externally published | Yes |
| Event | Medical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States Duration: 15 Feb 2004 → 17 Feb 2004 |
Keywords
- Artificial human vision
- Blind mobility
- Image processing
- Visual prosthesis