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A Multiscale Morphological Binarization Algorithm

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Computer Vision, Imaging and Computer Graphics. Theory and Applications (VISIGRAPP 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 68))

Abstract

Image binarization is widely used to generate more appropriate images to be used in several image analysis and understanding systems, as well as to facilitate data management and decrease storage space requirements. The main difficulties arise from the fact that images are frequently degraded by noise and non-uniform illumination, for example. This paper presents an efficient morphological-based image binarization technique with scale-space properties that is able to cope with these problems. We evaluate the proposed approach for different classes of images, including text images such as historical and machine-printed documents, obtaining promising results.

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Author information

Authors and Affiliations

  1. Department of Informatics, Federal University of Technology, Paraná, 80230-901, Curitiba, PR, Brazil

    Leyza Baldo Dorini

  2. Institute of Computing, University of Campinas, 13084-971, Campinas, SP, Brazil

    Neucimar Jerônimo Leite

Authors
  1. Leyza Baldo Dorini
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  2. Neucimar Jerônimo Leite
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Editor information

Editors and Affiliations

  1. INSTICC, Avenida D. Manuel I, 2910, Setúbal, Portugal

    AlpeshKumar Ranchordas

  2. Departamento de Engenharia Informática, Instituto Superior Técnico, Av. Rovisco Pais, 1049-001, Lisboa, Portugal,

    João Madeiras Pereira

  3. Institute for Systems and Robotics, Department of Electrical and Computer Engineering Polo II, University of Coimbra, 3030-290, Coimbra, Portugal

    Hélder J. Araújo

  4. Departamento de Engenharia Mecânica e Gestão Industrial, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    João Manuel R. S. Tavares

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Dorini, L.B., Leite, N.J. (2010). A Multiscale Morphological Binarization Algorithm. In: Ranchordas, A., Pereira, J.M., Araújo, H.J., Tavares, J.M.R.S. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Applications. VISIGRAPP 2009. Communications in Computer and Information Science, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11840-1_21

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  • DOI: https://doi.org/10.1007/978-3-642-11840-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11839-5

  • Online ISBN: 978-3-642-11840-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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