6533b829fe1ef96bd1289a80
RESEARCH PRODUCT
Nonlinear rotation-invariant pattern recognition by use of the optical morphological correlation.
Henri H. ArsenaultPascuala García-martínezJavier GarciaCarlos Ferreirasubject
Degree (graph theory)business.industryMaterials Science (miscellaneous)Image processingPattern recognitionMorphological correlationIndustrial and Manufacturing EngineeringInvariant pattern recognitionNonlinear systemsymbols.namesakeFourier transformOpticsPattern recognition (psychology)symbolsArtificial intelligenceBusiness and International ManagementbusinessRotation (mathematics)Mathematicsdescription
We introduce a modification of the nonlinear morphological correlation for optical rotation-invariant pattern recognition. The high selectivity of the morphological correlation is conserved compared with standard linear correlation. The operation performs the common morphological correlation by extraction of the information by means of a circular-harmonic component of a reference. In spite of some loss of information good discrimination is obtained, especially for detecting images with a high degree of resemblance. Computer simulations are presented, as well as optical experiments implemented with a joint transform correlator.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2000-02-10 | Applied optics |