Image Reconstruction Based on Novel Sets of Generalized Orthogonal Moments

Faculty Science Year: 2020
Type of Publication: ZU Hosted Pages:
Authors:
Roshdy Mohamed Farouk AbdulHameed
Journal: Journal of Imaging Journal of Imaging Volume:
Keywords : Image Reconstruction Based , Novel Sets , Generalized    
Abstract:
Inthiswork,wehavepresentedageneralframeworkforreconstructionofintensityimages based on new sets of Generalized Fractional order of Chebyshev orthogonal Moments (GFCMs), a novel set of Fractional order orthogonal Laguerre Moments (FLMs) and Generalized Fractional order orthogonal Laguerre Moments (GFLMs). The fractional and generalized recurrence relations of fractional order Chebyshev functions are defined. The fractional and generalized fractional order Laguerre recurrence formulas are given. The new presented generalized fractional order moments are tested with the existing orthogonal moments classical Chebyshev moments, Laguerre moments, and Fractional order Chebyshev Moments (FCMs). The numerical results show that the importance ofourgeneralframeworkwhichgivesaverycomprehensivestudyonintensityimagerepresentation basedGFCMs,FLMs,andGFLMs. Inaddition,thefractionalparametersgiveaflexibilityofstudying global features of images at different positions and scales of the given moments.
    
     
 
       

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  • Roshdy Mohamed Farouk AbdulHameed, "Analytical analysis of image representation by their discrete wavelet transform", International Journal of Computer Science, 2008 More
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