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In this paper a non-pixelwise thinning algorithm of binary line images, called vectorized thinning is proposed. The praesented algorithm produces a skeleton of a 2D-object which is performed in three steps: 1) links finding and simple region extraction, 2) complex region extraction and multiple points finding, 3) transformation into vectorized skeleton. As opposed to other thinning algorithms, the obtained skeleton is yet in vector from, particularly suitable for feature extraction in the cartographic symbol recognition from scanned, geodesic maps, with much better results than using other, pixelwise thinning methods ([17]). The main advantages of the proposed thinning algorithm lie in better extraction of multiple points representing corners, branch or crossing regions of 2D objects, and less sensitivity to a boundary noise which is one of the main problems in pixelwise thinning algorithms.
Słowa kluczowe
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Rocznik
Tom
Strony
341--352
Opis fizyczny
Bibliogr. 17 poz.
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autor
- Institute of Computer Science, Silesian Technical University, delta@ivp.iinf.polsl.gliwice.pl
Bibliografia
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BWA1-0001-0645