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Automatic Diatom Identification

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Title: Automatic Diatom Identification
Description: This is the first book to deal with automatic diatom identification. It provides the necessary background information concerning diatom research, useful for both diatomists and non-diatomists. It deals with the development of electronic databases, image preprocessing, automatic contour extraction, the application of existing contour and ornamentation features and the development of new ones, as well as the application of different classifiers (neural networks, decision trees, etc.). These are tested using two image sets: (i) a very difficult set of Sellaphora pupula with 6 demes and 120 images; (ii) a mixed genera set with 37 taxa and approximately 800 images. The results are excellent, and recognition rates well above 90% have been achieved on both sets. The results are compared with identification rates obtained by human experts. One chapter of the book deals with automatic image capture, i.e. microscope slide scanning at different resolutions using a motorized microscope stage, autofocusing, multifocus fusion, and particle screening to select only diatoms and to reject debris. This book is the final scientific report of the European ADIAC project (Automatic Diatom Identification and Classification), and it lists the web-sites with the created public databases and an identification demo.
Authors: Micha M Bayer, Hans Du Buf
Resource Type: eBook.
Subjects: Diatoms--Identification--Data processing, Pattern recognition systems
Categories: COMPUTERS / Optical Data Processing, PSYCHOLOGY / General, SCIENCE / Life Sciences / Botany
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 210652
RelevancyScore: 979
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 978.796813964844
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  Data: Automatic Diatom Identification
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This is the first book to deal with automatic diatom identification. It provides the necessary background information concerning diatom research, useful for both diatomists and non-diatomists. It deals with the development of electronic databases, image preprocessing, automatic contour extraction, the application of existing contour and ornamentation features and the development of new ones, as well as the application of different classifiers (neural networks, decision trees, etc.). These are tested using two image sets: (i) a very difficult set of Sellaphora pupula with 6 demes and 120 images; (ii) a mixed genera set with 37 taxa and approximately 800 images. The results are excellent, and recognition rates well above 90% have been achieved on both sets. The results are compared with identification rates obtained by human experts. One chapter of the book deals with automatic image capture, i.e. microscope slide scanning at different resolutions using a motorized microscope stage, autofocusing, multifocus fusion, and particle screening to select only diatoms and to reject debris. This book is the final scientific report of the European ADIAC project (Automatic Diatom Identification and Classification), and it lists the web-sites with the created public databases and an identification demo.
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  Data: <searchLink fieldCode="DE" term="%22Diatoms--Identification--Data+processing%22">Diatoms--Identification--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 579.85
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Diatoms--Identification--Data processing
        Type: general
      – SubjectFull: Pattern recognition systems
        Type: general
    Titles:
      – TitleFull: Automatic Diatom Identification
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Micha M Bayer
      – PersonEntity:
          Name:
            NameFull: Hans Du Buf
      – PersonEntity:
          Name:
            NameFull: Micha M Bayer
      – PersonEntity:
          Name:
            NameFull: Hans Du Buf
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2002
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9789810248864
            – Type: isbn-electronic
              Value: 9789812777867
          Numbering:
            – Type: volume
              Value: 00051
          Titles:
            – TitleFull: Automatic Diatom Identification
              Type: main
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