A Cmos Foveated Retina Chip For Edge Detection

• doi: 10.1109/TENCON.2001.949539
• title: A CMOS foveated retina chip for edge detection
• publisher: IEEE
• isbn: 0-7803-7101-1
• issn:
• partnum: 01CH37239
• rank: 593
• access_type: LOCKED
• content_type: Conferences
• abstract: The human retina is a fundamental element in the nervous system and processes huge amount of image information in real time. A foveated (log-polar) structure retina chip with 8/spl times/8 pixels for edge detection has been designed and fabricated using CMOS technology. The pixel distribution follows the log-polar transform having more resolving power in the center than in the surroundings. The foveated structure has already been employed in simple image sensors for normal cameras, but never in an edge detection retina chip. The chip his been fabricated using standard 1.5 /spl mu/m single-poly double-metal CMOS technology. Characteristics of the chip have been measured and its operation has been verified.
• article_number: 949539
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=949539
• html_url: https://ieeexplore.ieee.org/document/949539/
• abstract_url: https://ieeexplore.ieee.org/document/949539/
• publication_title: Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239)
• conference_location: Singapore
• conference_dates: 19-22 Aug. 2001
• publication_number: 7544
• is_number: 20542
• publication_year: 2001
• publication_date: 19-22 Aug. 2001
• start_page: P8
• end_page: P11 vol.1
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 72
• insert_date: 20020807
• index_terms:
  • ieee_terms:
    • Retina
    • Image edge detection
    • CMOS technology
    • CMOS image sensors
    • Humans
    • Nervous system
    • Real time systems
    • Image sensors
    • Cameras
    • Semiconductor device measurement
  • dynamic_index_terms:
    • Edge Detection
    • Real-time Information
    • Central Power
    • Human Retina
    • Distribution Of Pixels
    • Image Processing
    • Equivalent Circuit
    • Linear Growth
    • Bipolar Cells
• isbn_formats:
  • format: Print ISBN, value: 0-7803-7101-1, isbnType: Historical
• authors:
  • Author Name: Hyun-Soo Kim
    Affiliation: School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37087276768
    ID: 37087276768
    Order: 1
    Author Affiliations:
    • School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
  • Author Name: Dae-Sik Park
    Affiliation: School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37087521705
    ID: 37087521705
    Order: 2
    Author Affiliations:
    • School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
  • Author Name: Soo-Kyung Lee
    Affiliation: School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37087523467
    ID: 37087523467
    Order: 3
    Author Affiliations:
    • School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
  • Author Name: Jeong-Hwan Kim
    Affiliation: School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37087262961
    ID: 37087262961
    Order: 4
    Author Affiliations:
    • School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
  • Author Name: Minho Lee
    Affiliation: School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37087200440
    ID: 37087200440
    Order: 5
    Author Affiliations:
    • School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
  • Author Name: Jang-Kyoo Shin
    Affiliation: School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37087180103
    ID: 37087180103
    Order: 6
    Author Affiliations:
    • School of Electronic and Electrical Engineering, Kyungpook National University, Taegu, South Korea

Image Sensor

• sensor_type: CMOS
• resolution: 8x8
• dynamic_range: Not specified
• pixel_size: 100um x 100um
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: The chip is designed for edge detection with a foveated structure, which enhances the ability to process image data efficiently.
• benefits: Improves operating speed and reduces costs of image processing.

Supporting Organizations

• supported_by: Inter-university Semiconductor Research Center at Seoul National University, BSRC, KISTEP in Korea.

Manuscript Details

• publication_date: 19-22 Aug. 2001

Relevancy Score

• score: 10
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

request_bd67c876-ca54-47c6-b09c-1fcff2f69bab-a_cmos_foveated_retina_chip_for_edge_detection.json