Memristor-based pattern recognition for image processing: An adaptive coded aperture imaging and sensing opportunity

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7818, Issue , 2010, Pages

  Yakopcic, Chris ^a   Taha, Tarek M ^a   Subramanyam, Guru ^a   Shin, Eunsung ^a   Terrence Murray, P ^a   Rogers, Stanley ^b  

^a UNIVERSITY OF DAYTON   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICALLY INSPIRED; BIOLOGICALLY INSPIRED PROCESSING; CODED APERTURE IMAGING; CODED APERTURES; DEVICE MODELS; DEVICE PARAMETERS; EMERGING TECHNOLOGIES; HP LABS; MEMRISTOR; NEUROMORPHIC; NEUROMORPHIC CIRCUITS; NEW HIGH; NUMBER OF STATE; PASSIVE DEVICES; PROCESSING ARCHITECTURES; SENSING AND IMAGING; WIDE AREA;

ARCHITECTURE; IMAGE PROCESSING; IMAGING SYSTEMS; PASSIVE FILTERS; PATTERN RECOGNITION; RESISTORS; SENSORS;

EQUIPMENT;

EID: 78649854058     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.861513     Document Type: Conference Paper

References (8)

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