6533b831fe1ef96bd1298d87
RESEARCH PRODUCT
Multi-channel chromatic transformations for nonlinear color pattern recognition
Carlos FerreiraA. FaresM. HamdiPascuala García-martínezA. Bouzidsubject
Color histogramChannel (digital image)business.industryComputer scienceColor imageColor normalizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balancePattern recognitionImage processingHSL and HSVColor spaceAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsOpticsRGB color modelArtificial intelligenceElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessComputer Science::Information Theorydescription
We present a new approach for color pattern recognition based on multi-channel nonlinear correlations. High discrimination capability is obtained in comparison with common linear multi-channel detection methods. We apply the nonlinear morphological correlation to different color channel decompositions as RGB and ATD channels. Moreover, in order to improve the discrimination we have introduced a new color transformation. When a high selectivity is required, the combination of the nonlinear correlation and the new color decomposition yields to detect the object using just a single channel. Simulation results are provided.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2002-03-01 | Optics Communications |