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New Invariant Meixner Moments for Non-uniformly Scaled Images

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Digital Technologies and Applications (ICDTA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 668))

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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.

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Author information

Authors and Affiliations

  1. CED-ST, STIC, Laboratory of Electronic Signals and Systems of Information LESSI, Dhar El Mahrez Faculty of Science, Sidi Mohamed Ben Abdellah-Fez University, Fez, Morocco

    Mohamed Yamni & Hassan Qjidaa

  2. Engineering, Systems and Applications Laboratory, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, BP 72, My Abdallah Avenue Km. 5 Imouzzer Road, Fez, Morocco

    Achraf Daoui & Mhamed Sayyouri

  3. National School of Applied Sciences, Cadi Ayyad University, Marrakech, Morocco

    Hicham Karmouni

  4. Systems and Sustainable Environment Laboratory (SED), Faculty of Engineering Sciences (FSI), Private University of Fez (UPF), Fez, Morocco

    Mohammed Ouazzani Jamil

Authors
  1. Mohamed Yamni
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  2. Achraf Daoui
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  3. Hicham Karmouni
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  4. Mhamed Sayyouri
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  5. Hassan Qjidaa
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  6. Mohammed Ouazzani Jamil
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Corresponding author

Correspondence to Hicham Karmouni .

Editor information

Editors and Affiliations

  1. Ecole Nationale des Sciences Appliquées, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

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Yamni, M., Daoui, A., Karmouni, H., Sayyouri, M., Qjidaa, H., Jamil, M.O. (2023). New Invariant Meixner Moments for Non-uniformly Scaled Images. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_46

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