• DocumentCode
    1565220
  • Title

    An image resizing algorithm for binary maps

  • Author

    Morales-Manilla, Luis ; Sanchez-Diaz, Guillermo ; Soto, Ramon

  • Author_Institution
    Center of Technol. Res. on Inf. & Syst., Hidalgo State Autonomous Univ., Pachuca, Mexico
  • fYear
    2004
  • Firstpage
    126
  • Lastpage
    132
  • Abstract
    Loss of connectivity property is a common problem presented in binary map resizing operation. There are several algorithms to make the enlargement or reduction of digital images. However, when these techniques are applied in a binary geographic map image, in order to obtain a scaled map, these algorithms do not preserve the connectivity property. When a filled algorithm is required for coloring each item of a geographic map (e.g. its political division), the connectivity property is fundamental. In This work, we propose a resizing algorithm for processing binary geographic maps. The proposed algorithm preserves the connectivity property in the maps when an enlargement or reduction operation is applied.
  • Keywords
    cartography; image colour analysis; image enhancement; binary maps; connectivity property; digital images; enlargement operation; filled algorithm; geographic map; image resizing; political division; reduction operation; scaled map; Computational efficiency; Computer graphics; Digital images; Fractals; Image generation; Image processing; Image resolution; Interpolation; Nearest neighbor searches; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science, 2004. ENC 2004. Proceedings of the Fifth Mexican International Conference in
  • Print_ISBN
    0-7695-2160-6
  • Type

    conf

  • DOI
    10.1109/ENC.2004.1342597
  • Filename
    1342597