Title :
A generalized symmetry transform with selective attention capability for specific corner angles
Author :
Choi, Il ; Chien, Sung-Il
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Kyungpook Nat. Univ., Daegu, South Korea
Abstract :
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.
Keywords :
image processing; transforms; corner-angle tuned symmetry; generalized symmetry transform; local symmetry; polygonal object shape discrimination; real image; selective attention capability; symmetric feature; synthetic image; Data mining; Equations; Focusing; H infinity control; Joining processes; Shape; Transforms;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.821691
