• DocumentCode
    931524
  • Title

    Approximate coding of digital contours

  • Author

    Biswas, Sambhunath ; Pal, Sankar K.

  • Author_Institution
    Electron. & Commun. Sci. Unit, Indian Stat. Inst., Calcutta, India
  • Volume
    18
  • Issue
    6
  • fYear
    1988
  • Firstpage
    1056
  • Lastpage
    1066
  • Abstract
    Two methods are proposed for coding the discrete contour of binary images. A set of key pixels (guiding pixels) on the contour is defined for this purpose. The decoding schemes approximate the contour through the key pixels using the quadratic Bezier approximation technique. The amount of deviation of the decoded image from the original image is studied using the objective measures of percentage error and shape compactness. The decoded images are found to be faithful reproductions of the original image. A set of cleaning operations is also introduced as an intermediate step before final reproduction. It was found that the bit requirements and the compression ratios are also improved significantly as compared to the contour run length coding and discrete line segment coding techniques
  • Keywords
    computerised picture processing; encoding; approximate coding; binary images; compression ratios; computerised picture processing; digital contours; pixels; quadratic Bezier approximation; shape compactness; Aggregates; Chromium; Employment; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Production; Temperature control;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.23108
  • Filename
    23108