Summary
In this paper a fast orthogonal neural network (FONN) is used to construct an image classifier invariant to basic affine transformations (rotation, translation, scaling). The shift-invariance property of the Fourier amplitude spectrum in conjunction with the log-polar transform is applied for this purpose. Two image databases are built and used for testing the proposed classifier.
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Stasiak, B. (2010). FONN-Based Affine-Invariant Image Recognition. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_34
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DOI: https://doi.org/10.1007/978-3-642-16295-4_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16294-7
Online ISBN: 978-3-642-16295-4
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