Smart Multispectral Imager For Industrial Applications

• doi: 10.1109/IST.2016.7738189
• title: Smart multispectral imager for industrial applications
• publisher: IEEE
• isbn: 978-1-5090-1818-5
• issn:
• rank: 3599
• access_type: LOCKED
• content_type: Conferences
• abstract: After the big impact of optical 3D-imaging processing, multi- and hyperspectral imaging solutions will be the next technological innovation in image processing for industrial application. This work presents a clever and affordable solution for multispectral imaging: a smart imager for measurements spanning 400 nm to 950 nm in a 50 nm step with 50 nm bandwidth. With a combination of industrial interface technology (GigE-Vision), new CMOS-imaging sensors as well as new approaches for the active compensation of chromatic aberration novel applications are possible. The core idea of the smart multispectral sensor is to support of such features, while giving the user a friendly interface. This manuscript is organised as follows: firstly, a compact overview on history, spectral imaging and smart cameras is presented. The introduction is shortly followed by a brief description of the state of the art. The system is meticulously presented in the four subsequent sections. System evaluation shows some specific applications and a conclusion closes this work.
• article_number: 7738189
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738189
• html_url: https://ieeexplore.ieee.org/document/7738189/
• abstract_url: https://ieeexplore.ieee.org/document/7738189/
• publication_title: 2016 IEEE International Conference on Imaging Systems and Techniques (IST)
• conference_location: Chania, Greece
• conference_dates: 4-6 Oct. 2016
• publication_number: 7604853
• is_number: 7738183
• publication_year: 2016
• publication_date: 4-6 Oct. 2016
• start_page: 7
• end_page: 12
• citing_paper_count: 10
• citing_patent_count: 0
• download_count: 376
• insert_date: 20161110
• index_terms:
  • ieee_terms:
    • Optical filters
    • Intelligent sensors
    • Cameras
    • Spatial resolution
    • Band-pass filters
  • author_terms:
    • multispectral imaging
    • multispectral imaging system
    • multispectral calibration
    • compensation of chromatic aberrations
    • dynamic enhancement
    • spectral unmixing
  • dynamic_index_terms:
    • Multispectral Images
    • Multispectral Imagery
    • Image Processing
    • Spectral Imaging
    • Spectral Tomography
    • Spatial Resolution
    • Field Of View
    • Spatial Information
    • Integration Time
    • Image Size
    • Spectral Resolution
    • Numerical Aperture
    • Color Images
    • Quantum Efficiency
    • Optical Axis
    • Fiber Axis
    • Beam Axis
    • Camera System
    • Color Channels
    • Focal Position
    • Focus Position
    • Local Focus
    • Digital Image Processing
    • Image Optimization
    • Boundary Extraction
    • Computer Image Processing
    • Image Sharpness
    • Smart Sensors
    • Filter Wheel
    • Multispectral Camera
    • Yellow Part
    • Magnification Factor
    • Lateral Resolution
    • Objective Lens
    • Objective Lenses
    • Microscope Objective
    • Image Quality
    • Translational Motion
    • Linear Motion
    • Imaging System
    • Experimental Methods
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-1818-5, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-1817-8, isbnType: New-2005
• authors:
  • Author Name: Maik Rosenberger
    Affiliation: Department of Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
    Author URL: https://ieeexplore.ieee.org/author/38114835200
    ID: 38114835200
    Order: 1
    Author Affiliations:
    • Department of Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
  • Author Name: Rafael Celestre
    Affiliation: Department of Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
    Author URL: https://ieeexplore.ieee.org/author/37085899443
    ID: 37085899443
    Order: 2
    Author Affiliations:
    • Department of Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany

Image Sensor

• sensor_type: CMOS
• resolution: 1024 x 1280
• dynamic_range: Dynamic range values are dependent on various factors (not specified in detail)
• pixel_size: 5.3 µm
• dark_current: Not specified in detail in the text.

Optical Data

• focal_length: Varies as multiple objectives can be used (Computar 8 mm, Zeiss 25 mm, Zeiss Planar IR 50 mm)
• aperture: Not specified and depends on lens used
• field_of_view: Varies with the lens used
• distortion: Not specified.

Performance Metrics

• frame_rate: 60 fps
• signal_to_noise_ratio: Not specifically listed, but temporal dark noise varies from 22.20 to 27.07 as noted in the photometric parameters table
• sensitivity: Not explicitly stated but refers to dynamic compensation for illumination spectrum and quantum efficiency
• shutter_speed: Integration times usually from a few milliseconds to 1 s
• power_consumption: Specific values not given but indicates low non-recurring engineering (NRE) cost is a consideration.
• noise: Temporal dark noise varies for different wavelengths, from 22.20 to 27.07.

Applications & Benefits

• cell_imaging: The imager is used for applications including evaluating food safety and quality.
• benefits: Dynamic compensation for light intensities (illumination spectrum) and enhanced versatility for quality assurance.

Supporting Organizations

• supported_by: German Federal Ministry of Education and Research, InnoProfile project 'ID2M QualiMess Next Generation'.

Manuscript Details

• publication_date: 4-6 Oct. 2016

Relevancy Score

• score: 10

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