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A comparative study of performance for noisy roof edge detection

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Computer Analysis of Images and Patterns (CAIP 1993)

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

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Abstract

We first extend ISEF method and show that it is still an optimal linear operator for roof edge detection. We present then a comparative study of performance between Gaussian and ISEF filters and show that the ISEF filter has a better performance in S/N ratio and localization precision for noisy roof edge detection.

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Author information

Authors and Affiliations

  1. Image Laboratory Institute of Geodynamics, University Bordeaux-III, Avenue des Facultés, 33405, Talence, France

    Jun Shen

  2. IRIT, Université Paul Sabatier, 118, Route de Narbonne, 31062, Toulouse, France

    Serge Castan & Jian Zhao

Authors
  1. Jun Shen
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  2. Serge Castan
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  3. Jian Zhao
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Editor information

Dmitry Chetverikov Walter G. Kropatsch

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© 1993 Springer-Verlag Berlin Heidelberg

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Shen, J., Castan, S., Zhao, J. (1993). A comparative study of performance for noisy roof edge detection. 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_23

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  • DOI: https://doi.org/10.1007/3-540-57233-3_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57233-6

  • Online ISBN: 978-3-540-47980-2

  • eBook Packages: Springer Book Archive

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