A new method for pattern recognition that is invariant under changes of position, orientation, intensity, and scale is presented. The centroids of objects provide unique points that are related to the energy distribution. For obtaining more such unique points a conformal transform can be used to rearrange the energy distribution of the object. By means of the conformal transform many different centroids can be produced from the same object. A useful pattern-recognition and object-registration method that yields a position-, rotation-, intensity-, and scale-invariant feature vector based on these centroids can be created.
© 2000 Optical Society of America
(070.6110) Fourier optics and signal processing : Spatial filtering
(100.4550) Image processing : Correlators
(100.5010) Image processing : Pattern recognition
(110.2960) Imaging systems : Image analysis
(200.4740) Optics in computing : Optical processing
Shoude Chang, Henri H. Arsenault, Pascuala Garcia-Martinez, and Chander P. Grover, "Invariant Pattern Recognition Based on Centroids," Appl. Opt. 39, 6641-6648 (2000)