An image resizing algorithm for binary maps Conference Paper

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Overview

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 paper, 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.

authors

• Morales-Manilla L.R.
• Soto R.
• Sánchez Díaz Guillermo

publication date

• 2004-01-01

published in

• Proceedings of the Fifth Mexican International Conference in Computer Science, ENC 2004  Proceedings

Research

keywords

• Geographic maps; Image enlargement; Image resolution; Information loss; Algorithms; Image reconstruction; Information analysis; Interpolation; Maps; Neural networks; Optical resolving power; Problem solving; Image processing

Identity

Digital Object Identifier (DOI)

• 10.1109/ENC.2004.1342597

Additional Document Info

start page

• 126

end page

• 132