• DocumentCode
    693222
  • Title

    Graph-Based image segmentation with bag-of-pixels

  • Author

    Zhi-Hua Chen ; Xiao-Long Xiao ; Yi Liu ; Jing Zhang ; Yu-Bo Yuan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
  • Volume
    04
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    1548
  • Lastpage
    1551
  • Abstract
    Image segmentation can help us with a better understanding of the image content, and thus plays an important role in many fields of image processing including image retrieval, object recognition and image compression. We propose a novel method based on an efficient Graph-Based segmentation after analyzing its irrationalities. The proposed method with bag-of-pixels is simple and effective. In the evaluation using a large public image database that contains a lot of natural images, our method out-performs the efficient graph-based segmentation method, yields better segmentation results and shortens the running time.
  • Keywords
    graph theory; image retrieval; image segmentation; object recognition; visual databases; bag-of-pixels; graph based image segmentation; image compression; image content; image processing; image retrieval; object recognition; public image database; Abstracts; Image edge detection; Image segmentation; Streaming media; Bag-of Pixels; Graph-Based; Image Content; Image Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890849
  • Filename
    6890849