• DocumentCode
    468438
  • Title

    Selective Attention Guided Contour Extraction for Perceptual Grouping

  • Author

    Zhong, Jingjing ; Luo, Siwei ; Zou, Qi

  • Author_Institution
    Beijing Jiaotong Univ., Beijing
  • Volume
    1
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    492
  • Lastpage
    495
  • Abstract
    Selective attention is an important mechanism in human visual system. Existing attention models concentrate on giving a series of sight transferring. In this paper, we extend selective attention to guide contour extraction prepared for perceptual grouping. Selective attention functions in two aspects. One is to compute each pixel´s salient value in an image. The other is to extract salient contours. Compared with other contour extraction algorithms, our model gets better result when the same edge detect cue is used. Experiments and quantitative analysis testify our model´s good performance contour extraction and contour grouping.
  • Keywords
    edge detection; feature extraction; visual perception; edge detection cue; human visual system; image pixel salient value; perceptual grouping; selective attention guided contour extraction; Artificial intelligence; Brightness; Convolution; Data mining; Filters; Image edge detection; Image segmentation; Information technology; Pixel; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
  • Conference_Location
    Patras
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3015-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2007.153
  • Filename
    4410325