` Smart Image Processing System for Retinal Prosthesis

被引:0
|
作者
Weiland, James D. [1 ]
Parikh, Neha [2 ]
Pradeep, Vivek [3 ]
Medioni, Gerard [4 ]
机构
[1] Univ Southern Calif, Doheny Eye Inst, Los Angeles, CA 90089 USA
[2] Medtronic Inc, Los Angeles, CA USA
[3] Microsoft Inc, Redmond, WA USA
[4] Univ Southern Calif, Los Angeles, CA 90089 USA
关键词
BLIND;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Retinal prostheses for the blind have demonstrated the ability to provide the sensation of light in otherwise blind individuals. However, visual task performance in these patients remains poor relative to someone with normal vision. Computer vision algorithms for navigation and object detection were evaluated for their ability to improve task performance. Blind subjects navigating a mobility course had fewer collisions when using a wearable camera system that guided them on a safe path. Subjects using a retinal prosthesis simulator could locate objects more quickly when an object detection algorithm assisted them. Computer vision algorithms can assist retinal prosthesis patients and low-vision patients in general.
引用
收藏
页码:300 / 303
页数:4
相关论文
共 50 条
  • [1] Research on Image Processing System for Retinal Prosthesis
    Mao, Wei
    Que, Dashun
    Chen, Huawei
    Yao, Mian
    PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS, 2015, 13 : 823 - 830
  • [2] DSP based image processing for retinal prosthesis
    Parikh, NJ
    Weiland, JD
    Humayun, MS
    Shah, SS
    Mohile, GS
    PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2004, 26 : 1475 - 1478
  • [3] Extraocular Image Processing for Retinal Prosthesis Based on DSP
    Zou, Yuexian
    Shi, Guangyi
    Jin, Yufeng
    Zheng, Yali
    2009 4TH IEEE INTERNATIONAL CONFERENCE ON NANO/MICRO ENGINEERED AND MOLECULAR SYSTEMS, VOLS 1 AND 2, 2009, : 563 - 566
  • [4] Image processing for a high-resolution optoelectronic retinal prosthesis
    Asher, Alon
    Segal, William A.
    Baccus, Stephen A.
    Yaroslavsky, Leonid P.
    Palanker, Daniel V.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (06) : 993 - 1004
  • [5] Resolution modification and context based image processing for retinal prosthesis
    Naghdy, Golshah
    Beston, Chris
    Seo, Jong-Mo
    Chung, Hum
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXIX, 2006, 6312
  • [6] Smart fringe image processing system
    Kujawinska, M
    Kosinski, C
    LASER INTERFEROMETRY VIII: TECHNIQUES AND ANALYSIS, 1996, 2860 : 14 - 23
  • [7] A proposed intracortical visual prosthesis image processing system
    Srivastava, N. R.
    Troyk, P. R.
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 5264 - 5267
  • [8] Image processing using a saliency map for a 49-channel retinal prosthesis
    Kanda, Hiroyuki
    Kanda, Takaomi
    Nagai, Yukie
    Fujikado, Takashi
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2015, 56 (07)
  • [9] Smart vision system for applied image processing
    Gokstorp, M
    NEW IMAGE PROCESSING TECHNIQUES AND APPLICATIONS: ALGORITHMS, METHODS, AND COMPONENTS II, 1997, 3101 : 276 - 282
  • [10] Design of Visual Prosthesis Image Processing System Based on SoC
    Guo, Fei
    Yang, Yuan
    Gao, Yong
    Wu, Chuan Ke
    INTERNATIONAL SYMPOSIUM ON PHOTONICS AND OPTOELECTRONICS 2014, 2014, 9233