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• W4367358544 abstract "Invariants of discrete orthogonal moments have been applied in several research fields of image processing and pattern recognition due to their ability of representing digital images. Generally, moment invariants are invariant only for image translation, rotation and uniform scaling. These moments are not invariant when an image is scaled non-uniformly in the $$x$$ - and $$y$$ -axes directions. In this paper, we propose a new set of discrete orthogonal moments namely Meixner moments, which are invariant when an image is scaled uniformly/non-uniformly. The proposed invariants are completely independent of scale factors unlike some existing invariant moments in the literature. The experimental results show the efficiency of the proposed descriptors." @default.
• W4367358544 created "2023-04-30" @default.
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• W4367358544 date "2023-01-01" @default.
• W4367358544 modified "2023-09-27" @default.
• W4367358544 title "New Invariant Meixner Moments for Non-uniformly Scaled Images" @default.
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• W4367358544 doi "https://doi.org/10.1007/978-3-031-29857-8_46" @default.
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