• DocumentCode
    2913762
  • Title

    Pattern extraction of sonar images using an LPC edge detector with entropy thresholding

  • Author

    Zhang, James Z. ; Punch, Andrew J.

  • Author_Institution
    Dept. of Eng. & Technol., Western Carolina Univ., Cullowhee, NC, USA
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we present an object pattern extraction method using a recently proposed edge detection approach based on Linear Prediction (LP), with specific applications to pattern extraction of underwater sonar images. The novel edge detection method is illustrated, an entropy method used to calculate the threshold that separates the object and the background is discussed, and the application of this edge detection method in feature extraction is presented. Experimental results show that this method is effective and in many cases, outperforms some well known edge detection methods such as Canny and Sobel edge detectors.
  • Keywords
    edge detection; entropy; feature extraction; image segmentation; sonar imaging; LPC; edge detection; entropy thresholding method; feature extraction; linear prediction; object pattern extraction; underwater sonar image; Detectors; Entropy; Feature extraction; Image edge detection; Noise; Shape; Sonar; edge detection; entropy thresholding; feature extraction; linear prediction; object detection; pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS, 2012 - Yeosu
  • Conference_Location
    Yeosu
  • Print_ISBN
    978-1-4577-2089-5
  • Type

    conf

  • DOI
    10.1109/OCEANS-Yeosu.2012.6263408
  • Filename
    6263408