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ALOE: Augmented Local Operator for Edge Detection

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Image Analysis and Recognition (ICIAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8814))

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Abstract

We present here a novel approach to edge detection exploiting a local operator. One of the advantages of such operator is that its results are augmented with the edge direction without any further processing.

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Correspondence to Daniel Riccio .

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De Marsico, M., Nappi, M., Riccio, D. (2014). ALOE: Augmented Local Operator for Edge Detection. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8814. Springer, Cham. https://doi.org/10.1007/978-3-319-11758-4_24

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  • DOI: https://doi.org/10.1007/978-3-319-11758-4_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11757-7

  • Online ISBN: 978-3-319-11758-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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