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Thin Nets Extraction Using a Multi-scale Approach

✍ Scribed by N Armande; P Montesinos; O Monga; Guy Vaysseix

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
516 KB
Volume
73
Category
Article
ISSN
1077-3142

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✦ Synopsis

Thin nets are the lines where the grey level function is locally extremum in a given direction. Recently, we have shown that it is possible to characterize the thin nets using differential properties of the image surface. However, the method failed when these structures present different widths. In this paper we show that the extraction process of the thin nets, having different width, requires a multiscale analysis of the image. To design the fusion process of the multiscale information, we will study the behavior of the differential properties of the image surface, in particular the curvatures, in scale space. We illustrate the efficiency of the proposed multi-scale approach by extracting roads and blood vessels of different widths in satellite and medical images.

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