Abstract
We describe a method for labelling image structure based on scale-orientation signatures. These signatures provide a rich and stable description of local structure and can be used as a basis for robust pixel classification. We demonstrate their application to synthetic images containing lines and blob-like features and to mammograms containing abnormal masses. Quantitative results are presented, using both linear and nonlinear classification methods.
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© 1998 Springer-Verlag London Limited
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Zwiggelaar, R., Taylor, C.J. (1998). Linear and Non-Linear Modelling of Scale-Orientation Signatures. In: Marshall, S., Harvey, N.R., Shah, D. (eds) Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer, London. https://doi.org/10.1007/978-1-4471-1597-7_24
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DOI: https://doi.org/10.1007/978-1-4471-1597-7_24
Publisher Name: Springer, London
Print ISBN: 978-3-540-76258-4
Online ISBN: 978-1-4471-1597-7
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