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文章基本信息

  • 标题:An Efficient Polygonal Approximation Method in the Rate-Distortion Sense
  • 作者:Byoung-Ju Yun, Jae-Soo Cho ; Yun-Ho Ko
  • 期刊名称:International Journal of Information Technology
  • 印刷版ISSN:1305-239X
  • 电子版ISSN:1305-2403
  • 出版年度:2006
  • 卷号:12
  • 期号:02
  • 出版社:World Enformatika Society
  • 摘要:

    This paper proposes an efficient method for encoding the shape information of the object in the
    image. The proposed method is based on the PVS (Progressive Vertex Selection) method and uses
    the new vertex selection condition. The proposed system selects less number of vertices than
    conventional methods when maximum distortion ( *
    max D ) is given, so gives 5.5 ~ 17.2% bit reduction
    than PVS and 13.8 ~ 31.3 % bit reduction than IRM over test sequences and is also robust to the
    noise of the contour by using wider search range than PVS. Simulation results show that the
    proposed method has outstanding performance than other conventional vertex selection methods in
    the rate-distortion sense.

  • 关键词:Shape information coding; polygonal approximation; progressive vertex selection
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