Invariant pattern recognition based on centroids
| Autor: | Shoude Chang, Chander P. Grover, Henri H. Arsenault, Pascuala Garcia-Martinez |
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| Rok vydání: | 2008 |
| Předmět: |
Spatial filter
business.industry Computer science Materials Science (miscellaneous) Feature vector Feature extraction Centroid Conformal map Pattern recognition Industrial and Manufacturing Engineering Edge detection symbols.namesake Fourier transform Optics symbols Artificial intelligence Business and International Management Invariant (mathematics) business Computer Science::Databases |
| Zdroj: | Applied optics. 39(35) |
| ISSN: | 1559-128X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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