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Complete algebraic description and parallelization of translation and rotation invariant transformations for gray value images
Pattern recognition 1992 pp 30-41 | Cite as
- Michael Nölle
- Hanns Schulz-Mirbach
This article examines methods for obtaining translation and rotation invariant features for gray value images. A complete algebraic description of the resulting feature spaces is given by constructing a finite set of base invariants so that each feature with the required invariance properties can be expressed by this base using algebraic functions (polynomials). These basic features describe a gray value image completely except for degrees of freedom of rotation and translation. Finally, it is examined to what extent the proposed methods are suitable for parallelization. The algorithms were implemented and tested on a multiprocessor system.
this project is funded by the DFG
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Authors and Affiliations
- Michael Nölle
- Hanns Schulz-Mirbach
- 1.Institute for Computer Engineering ITU Hamburg-HarburgHamburg 90Germany
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