• DocumentCode
    3645876
  • Title

    Measuring shape rectangularities

  • Author

    Carlos Martinez-Ortiz;Dragiša Žunić;Joviša Žunić

  • Author_Institution
    Department of Computer Science, University of Exeter, Devon, UK
  • fYear
    2011
  • Firstpage
    369
  • Lastpage
    374
  • Abstract
    This paper introduces a family of rectangularity measures. Several rectangularity measures already exist in literature, and all of them evaluate how much the shape considered differs from a perfect rectangle. But all existing measures assume that all rectangles have the same shape, and a consequence is that these measures do not distinguish among the rectangles whose edge-ration differs. In this paper we consider that differently elongated rectangles have different shape and propose a family of new rectangularity measures which distinguish among such rectangles. New rectangularity measures are invariant with respect to translation, rotation and scaling transformations. In addition, we introduce a tuning parameter which enables an additional flexibility of the new measures with respect to performing applications.
  • Keywords
    "Shape","Shape measurement","Accuracy","Extraterrestrial measurements","Area measurement","Noise","Vectors"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
  • Print_ISBN
    978-1-4673-0752-9
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2011.6151590
  • Filename
    6151590