Matrix Operations on Structural Components of an Image after Topological Decomposition

The problem of dividing an image into structural components is considered in the article. The possibilities of the topological decomposition method for analyzing and processing a set of images from structural components using matrix operations are investigated. It is shown that the algebraic addition of matrices makes it possible to form grouped images, including low-frequency and high-frequency components, according to certain similar topological features. Multiplying the matrix by a number makes it possible to increase the visibility of individual structures in the image, or remove them without affecting the entire image, unlike spectral decomposition methods.

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Publication Details

Journal
Pattern Recognition and Image Analysis
Published
2024-12-01
DOI
https://doi.org/10.1134/s1054661824700913
Primary Topic
Digital Image Processing Techniques
Type
article
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article

Matrix Operations on Structural Components of an Image after Topological Decomposition

Sergey V. Eremeev
Pattern Recognition and Image Analysis
Digital Image Processing Techniques
article

Matrix Operations on Structural Components of an Image after Topological Decomposition

Sergey V. Eremeev
article en

Abstract

The problem of dividing an image into structural components is considered in the article. The possibilities of the topological decomposition method for analyzing and processing a set of images from structural components using matrix operations are investigated. It is shown that the algebraic addition of matrices makes it possible to form grouped images, including low-frequency and high-frequency components, according to certain similar topological features. Multiplying the matrix by a number makes it possible to increase the visibility of individual structures in the image, or remove them without affecting the entire image, unlike spectral decomposition methods.

Pattern Recognition and Image AnalysisVol. 34(4)
Vladimir State University (RU)
Openalex Percentile: Top 71%
Digital Image Processing Techniques
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