• DocumentCode
    714636
  • Title

    Classification of fish species with two dorsal fins using centroid-contour distance

  • Author

    Iscimen, Bilal ; Kutlu, Yakup ; Uyan, Ali ; Turan, Cemal

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Mustafa Kemal Univ., Hatay, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    1981
  • Lastpage
    1984
  • Abstract
    Color, texture and shape are generally used features in order to recognise an object from an image. In this study centroid-contour distance method is used in order to classify fish species with two dorsal fins. Therefore, fish images with two dorsal fins were used from fish images database taken under specific conditions. Various image processing methods were applied on images in order to extract centroid-contour distances. These distances were used as features and Nearest Neighbour algorithm was used for classification. 15 species from 427 fish images were classified with 95% general accuracy achievement.
  • Keywords
    image classification; image colour analysis; image texture; object recognition; zoology; centroid-contour distance method; dorsal fins; fish species classification; image color; image processing methods; image texture; nearest neighbour algorithm; object recognition; Image color analysis; Image recognition; Image retrieval; Marine animals; Shape; centroid-contour distance; fish species classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130252
  • Filename
    7130252