• DocumentCode
    1798698
  • Title

    A tri-directional spotlight filter for object contour extraction

  • Author

    Hsu, Roy Chaoming ; Chia Hung Hsu ; Cheng-Ting Liu ; Guo-Hua Qiu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chiayi Univ., Chiayi, Taiwan
  • fYear
    2014
  • fDate
    7-9 July 2014
  • Firstpage
    516
  • Lastpage
    520
  • Abstract
    In this study, an object contour extraction using local structure information (LSI) captured by tri-directional spotlight (TDSL) filter is proposed. The proposed TDSL filter is designed by using three directional spotlight filters with overlapping areas in capturing local structure information around a discontinuity along object contour. The TDSL filter for object contour extraction is consisted of three steps. First, the TDSL filter is placed on an initial contour point to calculate the local structure information in determining and storing the edge candidates between any two pre-selected initial contour points. Next, edge points with weak evidence will be filtered out to obtain an object contour wideband. By performing a thinning approach on the object contour wideband image, a closed one-pixel-width object contour will be finally obtained. Experimental results of the proposed method for manmade and real medical images exhibit that the proposed TDSL filter can enhance the accuracy of contour detection and extraction much better than other existing methods for object contour extraction.
  • Keywords
    edge detection; feature extraction; filtering theory; image segmentation; medical image processing; TDSL filter; closed one-pixel-width object contour; contour detection; edge points; local structure information; medical images; object contour extraction; object contour wideband image; thinning approach; tri-directional spotlight filter; Accuracy; Biomedical imaging; Image edge detection; Information filters; Silicon; contour extraction; local structure information; spotlight filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3902-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2014.7009847
  • Filename
    7009847