6 March 2009 Image processing methods for visual prostheses based on DSP
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Abstract
Visual prostheses for extreme vision impairment have come closer to reality during these few years. The task of this research has been to design exoteric devices and study image processing algorithms and methods for different complexity images. We have developed a real-time system capable of image capture and processing to obtain most available and important image features for recognition and simulation experiment based on DSP (Digital Signal Processor). Beyond developing hardware system, we introduce algorithms such as resolution reduction, information extraction, dilation and erosion, square (circular) pixelization and Gaussian pixelization. And we classify images with different stages according to different complexity such as simple images, medium complex images, complex images. As a result, this paper will get the needed signal for transmitting to electrode array and images for simulation experiment.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huwei Liu, Ying Zhao, Yukun Tian, Qiushi Ren, Xinyu Chai, "Image processing methods for visual prostheses based on DSP", Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 728014 (6 March 2009); doi: 10.1117/12.820579; https://doi.org/10.1117/12.820579
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