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Scale-space filters and their robustness

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Scale-Space Theory in Computer Vision (Scale-Space 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1252))

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Abstract

We discuss some properties of a class of scale-space processors called sieves which are useful because, like a diffusion processor, they have an increasing support region, but, unlike a diffusion processor, the region follows extremal regions in the image. We test their robustness to noise and occlusion.

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References

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Bart ter Haar Romeny Luc Florack Jan Koenderink Max Viergever

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© 1997 Springer-Verlag Berlin Heidelberg

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Harvey, R., Bangham, J.A., Bosson, A. (1997). Scale-space filters and their robustness. In: ter Haar Romeny, B., Florack, L., Koenderink, J., Viergever, M. (eds) Scale-Space Theory in Computer Vision. Scale-Space 1997. Lecture Notes in Computer Science, vol 1252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63167-4_67

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  • DOI: https://doi.org/10.1007/3-540-63167-4_67

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63167-5

  • Online ISBN: 978-3-540-69196-9

  • eBook Packages: Springer Book Archive

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