Review of Image Recognition Methods Based on Brightness Invariants and Geometric Transformations

Abramov, N.S.; Фраленко, Виталий Петрович; Хачумов, М. В.

doi:10.17513/snt.38078

СНТ (MHT)

2020

DOI: 10.17513/snt.38078

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Review of Image Recognition Methods Based on Brightness Invariants and Geometric Transformations

N.S. Abramov¹,

Виталий Петрович Фраленко²,

М. В. Хачумов³

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2023

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Determination of invariant characteristics for digital image and their calculation in the MatLab system

Samarina¹,

Samarin²

2023

Yugra State University Bulletin

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Subject of research: single-channel digital image, second-order invariants to movements and stretching. Purpose of research: to determine a new group of invariants of a single-channel digital image with respect to shifts, rotations and stretching. Methods and objects of research: the object of research is single-channel images. The developed computational algorithms are based on the complex use of analytical and geometric research methods, the theory of invariants and wavelets. Main results of research: a computational scheme for determining the group of invariant characteristics with respect to such digital image transformations as shifts, rotations and stretching has been developed.

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Determination of invariant characteristics for digital image and their calculation in the MatLab system

Samarina¹,

Samarin²

2023

Yugra State University Bulletin

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show abstract

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Review of Image Recognition Methods Based on Brightness Invariants and Geometric Transformations

Cited by 1 publication

References 0 publications

Determination of invariant characteristics for digital image and their calculation in the MatLab system

Determination of invariant characteristics for digital image and their calculation in the MatLab system

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