Fractional order color image processing

dc.contributor.authorHenriques, Manuel
dc.contributor.authorValério, Duarte
dc.contributor.authorGordo, Paulo
dc.contributor.authorMelício, Rui
dc.date.accessioned2022-01-11T11:03:59Z
dc.date.available2022-01-11T11:03:59Z
dc.date.issued2021-02
dc.description.abstractMany image processing algorithms make use of derivatives. In such cases, fractional derivatives allow an extra degree of freedom, which can be used to obtain better results in applications such as edge detection. Published literature concentrates on grey-scale images; in this paper, algorithms of six fractional detectors for colour images are implemented, and their performance is illustrated. The algorithms are: Canny, Sobel, Roberts, Laplacian of Gaussian, CRONE, and fractional derivative.por
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailruimelicio@gmail.com
dc.identifier.doi10.3390/math9050457por
dc.identifier.scientificarea246por
dc.identifier.urihttp://hdl.handle.net/10174/30734
dc.language.isoengpor
dc.peerreviewedyespor
dc.rightsopenAccesspor
dc.subjectFractional Derivativespor
dc.subjectImage Processingpor
dc.subjectColour Imagespor
dc.subjectSatellite Imagespor
dc.subjectVery-High- Resolution Satellitepor
dc.subjectSatellite Imagery Processingpor
dc.titleFractional order color image processingpor
dc.typearticle

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