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Crest lines detection in grey level images: Studies of different approaches and proposition of a new one

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 719))

Abstract

We aim in this paper to study the different approaches of extreme lines detection and propose a new process for this problem based on the pretopological model. We'll emphaszie that, for each approach undertaking, it's necessary to give a definition or description of crests line, and characterize then this definition by formalizing it, that second step permits the construction of the algorithm. We set a new algorithm to analyse images of lines (images of the third type), its partly uses the principle of functioning of clustering algorithms proposed by H. Emptoz in his thesis [4], but has a different “philosophy” to interpret the results.

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Dmitry Chetverikov Walter G. Kropatsch

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© 1993 Springer-Verlag Berlin Heidelberg

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Selmaoui, N., Leschi, C., Emptoz, H. (1993). Crest lines detection in grey level images: Studies of different approaches and proposition of a new one. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_21

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  • DOI: https://doi.org/10.1007/3-540-57233-3_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57233-6

  • Online ISBN: 978-3-540-47980-2

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