Design Of A Dspbased Cmos Imaging System For Embedded Computer Vision

• doi: 10.1109/ICCIS.2008.4670862
• title: Design of a DSP-based CMOS imaging system for embedded computer vision
• publisher: IEEE
• isbn: 978-1-4244-1674-5
• issn: 2326-8239
• partnum: 08EX2051
• rank: 2164
• access_type: LOCKED
• content_type: Conferences
• abstract: With the advance of image processing techniques and the fast reduction of image sensor costs, embedded computer vision is becoming a reality. This paper presents the design and implementation of an integrated CMOS imaging system based on DM642. The system can acquire VGA resolution image at 100 frame/s. The on-board 10 Mbps Ethernet connection and the UART as well as digital I/O ports provide convenience for direct interface to other intelligent devices. The on-board software provides image acquisition function, network-based control, network-based data transfer, JPEG compression, image pre-processing functions, edge detection function. Automatic exposure control and automatic white balance are realized in the system. Experiments show that the CMOS imaging system has a good performance in terms of imaging quality, with much potential for being used as intelligent vision system.
• article_number: 4670862
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4670862
• html_url: https://ieeexplore.ieee.org/document/4670862/
• abstract_url: https://ieeexplore.ieee.org/document/4670862/
• publication_title: 2008 IEEE Conference on Cybernetics and Intelligent Systems
• conference_location: Chengdu
• conference_dates: 21-24 Sept. 2008
• publication_number: 4664825
• is_number: 4670728
• publication_year: 2008
• publication_date: 21-24 Sept. 2008
• start_page: 430
• end_page: 433
• citing_paper_count: 2
• citing_patent_count: 1
• download_count: 322
• insert_date: 20081111
• index_terms:
  • ieee_terms:
    • Computer vision
    • CMOS image sensors
    • Automatic control
    • Image processing
    • Image sensors
    • Costs
    • Image resolution
    • Ethernet networks
    • Transform coding
    • Image coding
  • author_terms:
    • CMOS Imaging System
    • DM642
    • Embedded Computer Vision
  • dynamic_index_terms:
    • Imaging System
    • Image Processing
    • Image Acquisition
    • Visual System
    • Image Sensor
    • Camera Sensor
    • Edge Detection
    • JPEG Compression
    • Automatic Exposure Control
    • Raw Data
    • CCD Camera
    • Charge-coupled Device
    • Power Consumption
    • Design Software
    • Packaging Design
    • Software Applications
    • Image Point
    • Image Compression
    • Gamma Correction
    • Image Processing System
    • Image Acquisition System
    • System Power Consumption
    • MHz Clock
• isbn_formats:
  • format: CD, value: 978-1-4244-1674-5, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-1673-8, isbnType: New-2005
• authors:
  • Author Name: Fen Xu
    Affiliation: College of Mechatronics Engineering, North-China University of Technology, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37087599113
    ID: 37087599113
    Order: 1
    Author Affiliations:
    • College of Mechatronics Engineering, North-China University of Technology, Beijing, China
  • Author Name: Jian-Jun Zeng
    Affiliation: College of Mechatronics Engineering, North-China University of Technology, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37087732706
    ID: 37087732706
    Order: 2
    Author Affiliations:
    • College of Mechatronics Engineering, North-China University of Technology, Beijing, China
  • Author Name: Yun-Long Zhang
    Affiliation: College of Mechatronics Engineering, North-China University of Technology, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37087664408
    ID: 37087664408
    Order: 3
    Author Affiliations:
    • College of Mechatronics Engineering, North-China University of Technology, Beijing, China

Image Sensor

• sensor_type: CMOS
• resolution: VGA (640x480)
• dynamic_range: Not specified in the paper
• pixel_size: Not specified in the paper
• dark_current: Not specified in the paper

Optical Data

• focal_length: Not specified in the paper
• aperture: Not specified in the paper
• field_of_view: Not specified in the paper
• distortion: Not specified in the paper

Performance Metrics

• frame_rate: 100 fps
• signal_to_noise_ratio: Not specified in the paper
• sensitivity: Not specified in the paper
• shutter_speed: Not specified in the paper
• power_consumption: About 3W
• noise: Not specified in the paper

Applications & Benefits

• cell_imaging: Not specified in the paper
• benefits: Suitable for embedded applications, such as intelligent vision systems and mobile robots.

Supporting Organizations

• supported_by: Beijing Municipal Educational Committee Sci. & Tech. Development Plan, Beijing Personnel Bureau Financial Plan for Scholars with overseas background.

Manuscript Details

• publication_date: 21-24 Sept. 2008

Relevancy Score

• score: 8
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

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