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Using Modified Hough Transform for Grouping of Image Features

  • Conference paper
Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

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Abstract

A modified Hough transform has been proposed for grouping of image feature-carriers. The method has adjustable parameters, which are used in grouping and adding of missing image feature-carriers (due to registration noise). The adding of missing image features is based on performing of the secondary Hough-transform over the small window, in order to increase of transform resolution. The article contains of the research results addressing the influence of the method parameters on grouping of image features of real images.

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© 2005 Springer-Verlag Berlin Heidelberg

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Przybylski, L. (2005). Using Modified Hough Transform for Grouping of Image Features. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_49

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  • DOI: https://doi.org/10.1007/3-540-32390-2_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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