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Evaluation of Features for Leaf Discrimination

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Book cover Image Analysis and Recognition (ICIAR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7950))

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Abstract

A number of shape features for automatic plant recognition based on digital image processing have been proposed by Pauwels et al. in 2009. A database with 15 classes and 171 leaf samples was considered for the evaluation of these measures using linear discriminant analysis and hierarchical clustering. The results obtained match the human visual shape perception with an overall accuracy of 87%.

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References

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Author information

Authors and Affiliations

  1. Departamento de Matemática, Faculdade de Ciências da, Universidade do Porto, Portugal

    Pedro F. B. Silva & André R. S. Marçal

  2. Departamento de Biologia, Faculdade de Ciências da, Universidade do Porto, Portugal

    Rubim M. Almeida da Silva

Authors
  1. Pedro F. B. Silva
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  2. André R. S. Marçal
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  3. Rubim M. Almeida da Silva
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2013 Springer-Verlag Berlin Heidelberg

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Silva, P.F.B., Marçal, A.R.S., da Silva, R.M.A. (2013). Evaluation of Features for Leaf Discrimination. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_23

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  • DOI: https://doi.org/10.1007/978-3-642-39094-4_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39093-7

  • Online ISBN: 978-3-642-39094-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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