• DocumentCode
    2055328
  • Title

    Survey on image segmentation via clustering

  • Author

    Saraswathi, S. ; Allirani, A.

  • Author_Institution
    Mahendra Eng. Coll., Salem, India
  • fYear
    2013
  • fDate
    21-22 Feb. 2013
  • Firstpage
    331
  • Lastpage
    335
  • Abstract
    This paper is a survey to achieve image segmentation by using different clustering techniques. The goal of image segmentation is to cluster pixels into salient image regions such as individual surfaces, objects, natural parts of objects. Clustering technique can be used for image segmentation. Clustering in image segmentation is the process of identifying groups of related images. To achieve the superpixel formation, many clustering techniques can be classified. The purpose of using clustering technique is to get proper result with high efficiency effective storage image.
  • Keywords
    image segmentation; pattern clustering; clustering techniques; effective storage image; image segmentation; pixel clustering; salient image regions; superpixel formation; Classification algorithms; Clustering algorithms; Computer vision; Digital images; Image edge detection; Image segmentation; Boundary approach; Clustering; Fuzzy clustering; Hierarchical; Image segmentation; K-means clustering; Partitional clustering; Region approach; Relevance feedback; Superpixel; Supervised clustering; Unsupervised clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2013 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-5786-9
  • Type

    conf

  • DOI
    10.1109/ICICES.2013.6508376
  • Filename
    6508376