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Institute of Information Theory and Automation
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Ing. Tomáš Suk, Ph.D. DSc.
Position:
research fellow
Department:
Research interests:
digital image processing, pattern recognition, image filtering, invariant features, moment and point invariants, geometric transformations of images. Applications in remote sensing, astronomy, medicine, biology and computer vision.
Publications ÚTIA:
Person detail
Duration: 2003
- 2005
The most important results:
construction of a complete and independent system of similarity moment invariants,
creation of combined blur and affine features,
development and implementation of a new graph method for generating of affine moment invariants, including methods for elimination of reducible invariants,
implementation of a method based on direct solution of Cayley-Aronhold differe
Duration: 1998
- 2000
The project managed to find a combined invariants (i.e. w.r.t both convolution and geometric distortion) with different variants of a combination of convolution and geometric transformations based on moments of image function. On the side of the convolution transformation, it is primarily blurring by centrally symmetric energy-preserving linear filter.
Duration: 1995
- 1997
Cooperation with Czech Technical University