A Cmos Imager With Onpixel Grayscale Erosion

• doi: 10.1109/MWSCAS.2007.4488541
• title: A CMOS imager with on-pixel gray-scale erosion
• publisher: IEEE
• isbn: 978-1-4244-1176-4
• issn: 1558-3899
• partnum: 07CH37897
• rank: 630
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a new method, based on gray-scale mathematical morphology, called bitwise decomposition. Aimed at visual prosthetics, the design is compact and portable. The use of the proposed gray-scale erosion allows for on-pixel image processing and a higher fill factor. The design is based on digital pixel sensors, where analog-to-digital conversion is carried out next to the photodiode. The advantages are faster readout and better reliability. Implemented in 0.13 mum CMOS technology, the design achieves a fill factor of 22%. The pixel array needs only a minimum of external control and processing circuitry to produce an edge image.
• article_number: 4488541
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4488541
• html_url: https://ieeexplore.ieee.org/document/4488541/
• abstract_url: https://ieeexplore.ieee.org/document/4488541/
• publication_title: 2007 50th Midwest Symposium on Circuits and Systems
• conference_location: Montreal, QC, Canada
• conference_dates: 5-8 Aug. 2007
• publication_number: 4483493
• is_number: 4488527
• publication_year: 2007
• publication_date: 5-8 Aug. 2007
• start_page: 61
• end_page: 64
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 48
• insert_date: 20080415
• index_terms:
  • ieee_terms:
    • Gray-scale
    • CMOS technology
    • Morphology
    • Prosthetics
    • Image processing
    • Analog-digital conversion
    • Photodiodes
    • CMOS image sensors
    • Pixel
    • Process control
  • dynamic_index_terms:
    • Grayscale Erosion
    • Photodiode
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Image Edge
    • Fill Factor
    • Pixel Array
    • Mathematical Morphology
    • High Fill Factor
    • Control Circuitry
    • Image Pixels
    • Grayscale Images
    • Greyscale Images
    • Binary Image
    • State Machine
    • Finite-state
    • Finite State Machine
    • Edge Detection
    • Non-maximum Suppression
    • Edge Detection Algorithm
• isbn_formats:
  • format: CD, value: 978-1-4244-1176-4, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-1175-7, isbnType: New-2005
• authors:
  • Author Name: Duha Jabakhanji
    Affiliation: Department of Electronics, Carleton University, Ottawa, ONT, Canada
    Author URL: https://ieeexplore.ieee.org/author/38125852200
    ID: 38125852200
    Order: 1
    Author Affiliations:
    • Department of Electronics, Carleton University, Ottawa, ONT, Canada
  • Author Name: Maitham Shams
    Affiliation: Department of Electronics, Carleton University, Ottawa, ONT, Canada
    Author URL: https://ieeexplore.ieee.org/author/37272816600
    ID: 37272816600
    Order: 2
    Author Affiliations:
    • Department of Electronics, Carleton University, Ottawa, ONT, Canada

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: 46 dB
• pixel_size: 17x17 µm
• dark_current: Not specified

Optical Data

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

Performance Metrics

• power_consumption: 0.38 mW

Applications & Benefits

• cell_imaging: Suitable for visual prosthetics, edge detection for blind patients.
• benefits: Simplifies edge detection and allows for portable visual implants.

Supporting Organizations

• supported_by: Not specified

Manuscript Details

• publication_date: 5-8 Aug. 2007

Relevancy Score

• score: 9
• missing_fields:
  • resolution
  • quantum efficiency
  • dark current
  • frame rate
  • signal_to_noise ratio
  • sensitivity
  • shutter speed
  • noise
  • focal length
  • aperture
  • field of view
  • distortion

Processed JSON Filename

request_7db05a06-5566-4a02-90f3-58654ab5653c-a_cmos_imager_with_onpixel_grayscale_erosion.json