A generalized symmetry transform with selective attention capability for specific corner angles

A generalized symmetry transform with selective attention capability for specific corner angles

A generalized symmetry transform evaluates evidence of local symmetry, yet it has no selective attention capability for corner angles. Therefore, a symmetry transform is proposed that can recognize symmetric features tuned to specific corner angles. Experimental results with synthetic and real image...

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Veröffentlicht in:IEEE signal processing letters 2004-02, Vol.11 (2), p.255-257
Hauptverfasser: Choi, I., Chien, S.-I.
Format: Artikel
Sprache:eng
Schlagworte:
Corners
Data mining
Equations
Feature recognition
Focusing
H infinity control
Imagery
Joining processes
Recognition
Shape
Signal processing
Symmetry
Transforms
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Zusammenfassung:A generalized symmetry transform evaluates evidence of local symmetry, yet it has no selective attention capability for corner angles. Therefore, a symmetry transform is proposed that can recognize symmetric features tuned to specific corner angles. Experimental results with synthetic and real imagery confirm the effectiveness of the proposed transform in discriminating polygonal objects.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2003.821691