Dimensionality in image analysis

  • Authors:
  • Jean-F. Rivest;Jean Serra;Pierre Soille

  • Affiliations:
  • Centre de Morphologie Mathématique, Ecole des Mines de Paris, 35 rue Saint-Honoré, 77305 Fontainebleau, Cedex, France;Centre de Morphologie Mathématique, Ecole des Mines de Paris, 35 rue Saint-Honoré, 77305 Fontainebleau, Cedex, France;Centre de Morphologie Mathématique, Ecole des Mines de Paris, 35 rue Saint-Honoré, 77305 Fontainebleau, Cedex, France

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 1992

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Abstract

Considering gray tone images as sets in the Euclidean space enables measurements of fundamental parameters of an image such as its surface, volume, and connectivity number. However, resulting measurements may have a questionable meaning as the gray tone axis is generally not homogeneous with the image. We therefore introduce the notion of dimensionality to assess the appropriateness of an image measurement. Dimensionality holds for the inhomogeneity of image dimensions since it separates the scaling of the image into a scaling along thex-y plane and a scaling along the gray tone axis. This allows us to review the fundamental measurements on sets to determine those satisfying the dimensionality criterion. Then, we show that dimensionality is of equal importance when processing images. A segmentation experiment illustrates this assertion. Finally, we briefly discuss specific conditions under which dimensionality can be circumvented.