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Optimization of Visual Information Presentation for Visual Prosthesis
Joint Authors
Source
International Journal of Biomedical Imaging
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Visual prosthesis applying electrical stimulation to restore visual function for the blind has promising prospects.
However, due to the low resolution, limited visual field, and the low dynamic range of the visual perception, huge loss of information occurred when presenting daily scenes.
The ability of object recognition in real-life scenarios is severely restricted for prosthetic users.
To overcome the limitations, optimizing the visual information in the simulated prosthetic vision has been the focus of research.
This paper proposes two image processing strategies based on a salient object detection technique.
The two processing strategies enable the prosthetic implants to focus on the object of interest and suppress the background clutter.
Psychophysical experiments show that techniques such as foreground zooming with background clutter removal and foreground edge detection with background reduction have positive impacts on the task of object recognition in simulated prosthetic vision.
By using edge detection and zooming technique, the two processing strategies significantly improve the recognition accuracy of objects.
We can conclude that the visual prosthesis using our proposed strategy can assist the blind to improve their ability to recognize objects.
The results will provide effective solutions for the further development of visual prosthesis.
American Psychological Association (APA)
Guo, Fei& Yang, Yuan& Gao, Yong. 2018. Optimization of Visual Information Presentation for Visual Prosthesis. International Journal of Biomedical Imaging،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1169495
Modern Language Association (MLA)
Guo, Fei…[et al.]. Optimization of Visual Information Presentation for Visual Prosthesis. International Journal of Biomedical Imaging No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1169495
American Medical Association (AMA)
Guo, Fei& Yang, Yuan& Gao, Yong. Optimization of Visual Information Presentation for Visual Prosthesis. International Journal of Biomedical Imaging. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1169495
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169495