Development of Automated Image Analysis Software for Suspended Marine Particle Classification

Abstract

The goal of this project is to develop a broadly-capable software package, which can automatically classify digital images of zooplankton. The software is being developed initially for classification of images from the SIPPER linescan imaging instrument, but has a wider application to alternate imaging systems where high quality digital images are available. Toward this end, the software is being developed to include both training and multi-stage classification portions. The input is digital images in standard computer format. A database-addressable classified particle list, including pertinent particle information and sorted images is the output. The project has application in rapid classification of microscopic marine particles, which have an effect on the instant optical properties and long-term variation in the local and global water column.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA627430

Entities

People

  • Dmitry Goldgof
  • Lawrence O. Hall
  • Scott Samson
  • Thomas Hopkins

Organizations

  • University of South Florida

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Application Software
  • Applied Mathematics
  • Computations
  • Computer Science
  • Computers
  • Computing System Architectures
  • Digital Images
  • Identification
  • Image Recognition
  • Machine Learning
  • Network Architecture
  • Neural Networks
  • Oceanography
  • Supervised Machine Learning
  • Training

Readers

  • Aerosol Science/Aerosol Physics
  • Computer Vision.