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Features Invariant Simultaneously to Convolution and Affine Transformation

Tomáš SukContact Information and Jan FlusserContact Information

(5)  Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod vodárenskou věží 4, 182 08 Praha 8, Czech Republic
Abstract
The contribution is devoted to the recognition of objects and patterns deformed by imaging geometry as well as by unknown blurring. We introduce a new class of features invariant simultaneously to blurring with a centrosymmetric PSF and to affine transformation. As we prove in the contribution, they can be constructed by combining affine moment invariants and blur invariants derived earlier. Combined invariants allow to recognize objects in the degraded scene without any restoration.

Keywords  pattern recognition - image invariants


Contact Information Tomáš Suk
Email: suk@utia.cas.cz

Contact Information Jan Flusser
Email: flusser@utia.cas.cz
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Referenced by
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  1. Metari, S. (2008) . IEEE Transactions on Image Processing 17(6)
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