• DocumentCode
    639514
  • Title

    Winding Number for Region-Boundary Consistent Salient Contour Extraction

  • Author

    Yansheng Ming ; Hongdong Li ; Xuming He

  • Author_Institution
    ANU, Canberra, ACT, Australia
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    2818
  • Lastpage
    2825
  • Abstract
    This paper aims to extract salient closed contours froman image. For this vision task, both region segmentation cues (e.g. color/texture homogeneity) and boundary detection cues (e.g. local contrast, edge continuity and contour closure) play important and complementary roles. In this paper we show how to combine both cues in a unified framework. The main focus is given to how to maintain the consistency (compatibility) between the region cues and the boundary cues. To this ends, we introduce the use of winding number-a well-known concept in topology-as a powerful mathematical device. By this device, the region-boundary consistency is represented as aset of simple linear relationships. Our method is applied to the figure-ground segmentation problem. The experiments show clearly improved results.
  • Keywords
    computer vision; feature extraction; image segmentation; topology; boundary detection cues; figure-ground segmentation problem; linear relationships; region segmentation cues; region-boundary consistency; region-boundary consistent salient contour extraction; topology; vision task; winding number; Australia; Image edge detection; Image segmentation; Indexes; Junctions; Linear programming; Windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.363
  • Filename
    6619207