An image-processing strategy to extract important information suitable for a low-size stimulus pattern in a retinal prosthesis.
文献类型：期刊论文
| 作者 | Chen, Yili; Fu, Jixiang; Chu, Dawei; Li, Rongmao; Xie, Yaoqin |
| 刊名 | BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Background: A retinal prosthesis is designed to help the blind to obtain some sight. It consists of an external part and an internal part. The external part is made up of a camera, an image processor and an RF transmitter. The internal part is made up of an RF receiver, implant chip and microelectrode. Methods: Currently, the number of microelectrodes is in the hundreds, and we do not know the mechanism for using an electrode to stimulate the optic nerve. A simple hypothesis is that the pixels in an image correspond to the electrode. The images captured by the camera should be processed by suitable strategies to correspond to stimulation from the electrode. Thus, it is a question of how to obtain the important information from the image captured in the picture. Here, we use the region of interest (ROI), a useful algorithm for extracting the ROI, to retain the important information, and to remove the redundant information. Results: This paper explains the details of the principles and functions of the ROI. Because we are investigating a real-time system, we need a fast processing ROI as a useful algorithm to extract the ROI. Thus, we simplified the ROI algorithm and used it in an outside image-processing digital signal processing (DSP) system of the retinal prosthesis. Conclusion: The results show that our image-processing strategies are suitable for a real-time retinal prosthesis and can eliminate redundant information and provide useful information for expression in a low-size image. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12009]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK |
| 推荐引用方式 GB/T 7714 | Chen, Yili,Fu, Jixiang,Chu, Dawei,et al. An image-processing strategy to extract important information suitable for a low-size stimulus pattern in a retinal prosthesis.[J]. BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK,2017. |
| APA | Chen, Yili,Fu, Jixiang,Chu, Dawei,Li, Rongmao,&Xie, Yaoqin.(2017).An image-processing strategy to extract important information suitable for a low-size stimulus pattern in a retinal prosthesis..BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK. |
| MLA | Chen, Yili,et al."An image-processing strategy to extract important information suitable for a low-size stimulus pattern in a retinal prosthesis.".BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。