• DocumentCode
    2486995
  • Title

    A fast shape retrieval using dendrogram

  • Author

    Kikugawa, Michikazu ; Chang, Won-Du ; Hwang, Soonwook ; Shin, Jungpil

  • Author_Institution
    Grad. Sch. of Comput. Sci. & Eng., Univ. of Aizu, Fukushima, Japan
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A lot of image data has been digitized and preserved in computers. In order to search for an image, an efficient and accurate retrieval method is needed. This paper is concerned with shape retrieval which is one of the searching methods for finding similar images in a database. Shape, the outer form of a picture, is considered the most promising feature to identify entities in an image. The problem of shape retrieval takes a lot of time because an exhaustive search is mainly used in literatures. This paper suggests the use of a clustering method known as dendrogram for shape retrieval. In addition, we proposed the automatic decision of a threshold to determine a number of clusters in dendrogram. Through the experimental result, the proposed method proved fast retrieval preserving almost the same level accuracy.
  • Keywords
    feature extraction; image retrieval; shape recognition; dendrogram; exhaustive search; fast shape retrieval; image data; image retrieval; searching methods; Clouds; Databases; Humans; Marine animals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596321
  • Filename
    5596321