Data Extraction From Underwater Holograms Of Marine Organisms

• doi: 10.1109/OCEANSE.2007.4302407
• title: Data Extraction from Underwater Holograms of Marine Organisms
• publisher: IEEE
• isbn: 978-1-4244-0635-7
• issn:
• partnum: 07EX1527
• rank: 2048
• access_type: LOCKED
• content_type: Conferences
• abstract: A digital holographic camera (eHoloCam) has been developed by us for in situ underwater studies of the distribution and dynamics of plankton and other marine organisms and particles. The eHoloCam uses a frequency-doubled Nd-YAG pulsed laser to freeze-frame rapidly moving particles and a CMOS imaging sensor for high-resolution image capture. Digital holograms are recorded at rates from 5 Hz to 25 Hz as holographic videos over a period of several hours. Data is stored in the camera on an embedded computer. eHoloCam is capable of recording all organisms and particles located in a water volume of 36.8 cm3 in a single hologram frame. The recorded holographic videos may subsequently be recreated numerically, using a variety of reconstruction algorithms, at a desired image plane. The vast amounts of data stored in holographic videos presents a major challenge for the automation of image extraction, identification of species and hence analysis of the holograms. In this paper, we describe some of the algorithms we use to optimise hologram reconstruction and, subsequently, image quality. We discuss the problems of automating the data extraction, the implementation of auto-focus methods and the definition of regions of interest in the eholovideo reconstruction procedures. In covering each of these and their amalgamation into a single algorithm, we will describe a complete image auto-extraction algorithm capable of scanning eholovideos and generating a directory of extracted, focussed bitmap-images.
• article_number: 4302407
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4302407
• html_url: https://ieeexplore.ieee.org/document/4302407/
• abstract_url: https://ieeexplore.ieee.org/document/4302407/
• publication_title: OCEANS 2007 - Europe
• conference_location: Aberdeen, UK
• conference_dates: 18-21 June 2007
• publication_number: 4302188
• is_number: 4302189
• publication_year: 2007
• publication_date: 18-21 June 2007
• start_page: 1
• end_page: 6
• citing_paper_count: 6
• citing_patent_count: 2
• download_count: 142
• insert_date: 20070917
• index_terms:
  • ieee_terms:
    • Data mining
    • Organisms
    • Holography
    • Videos
    • Image analysis
    • Cameras
    • CMOS image sensors
    • Image reconstruction
    • Information analysis
    • Performance analysis
  • author_terms:
    • Auto-focus
    • Digital Holography
    • Holographic camera
    • Tenengrad
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Reconstruction Algorithm
    • Holographic
    • Greater Diversity
    • Greater Variability
    • Diffraction Patterns
    • Image Pixels
    • Focal Plane
    • Back Focal Plane
    • Light Beam
    • Optical Beam
    • Infrared Beam
    • Recording Time
    • Unfocused
    • Out Of Focus
    • Structural Database
    • Peak Strength
    • Seed Filling
    • Flood Fill
    • Filling Pattern
    • Blurred Images
    • Sharpe Ratio
    • Risk-adjusted Returns
    • Reference Beam
    • Regions Of Interest Location
    • Region Of Interest Position
    • Angular Spectrum
    • Automatic Analysis System
    • Noise Immunity
    • Zip File
    • University Of Aberdeen
    • Fourier Transform
• isbn_formats:
  • format: CD, value: 978-1-4244-0635-7, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-0634-0, isbnType: New-2005
• authors:
  • Author Name: Nicholas Burns
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37705167500
    ID: 37705167500
    Order: 1
    
  • Author Name: John Watson
    Affiliation:
    Author URL: https://ieeexplore.ieee.org/author/37385793900
    ID: 37385793900
    Order: 2
    

Image Sensor

• sensor_type: CMOS
• resolution: N/A
• dynamic_range: N/A
• pixel_size: N/A
• dark_current: N/A

Optical Data

• focal_length: N/A
• aperture: N/A
• field_of_view: N/A
• distortion: N/A

Performance Metrics

• frame_rate: 5Hz to 25Hz
• signal_to_noise_ratio: N/A
• sensitivity: N/A
• shutter_speed: N/A
• power_consumption: N/A
• noise: N/A

Applications & Benefits

• cell_imaging: Used for in-situ underwater studies of plankton and marine organisms.
• benefits: High-resolution image capture, enabling the study of dynamic behaviors and distributions of marine life.

Supporting Organizations

• supported_by: DTI under the Link OSDA Programme

Manuscript Details

• publication_date: 18-21 June 2007

Relevancy Score

• score: 10
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_a2e5c26b-c096-4c22-9f87-3c94867e9b23-data_extraction_from_underwater_holograms_of_marine_organisms.json