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Automatic Dominant Orientation Estimation in Texture Images Using the Scattering Ellipse of the Gradients

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Abstract

In this paper, the problem of estimating the dominant image orientation (DIO) is experimentally investigated using the characteristics of the scattering ellipse of the gradient field components. According to these characteristics, the angle of rotation, the parameters of the shape of the Weibull distribution characterizing the blurring of the image, as well as the assessment of the sharpness of the DIO angle determination, are estimated. The results of an experimental study of the properties of DIO in various situations, such as the implementation of rotations of texture and other types of images by various methods, the presence of distorting noise, etc. are given. Using the Photoshop software system, the results of applying the previously proposed approach to assessing the quality of image rotation algorithms called the “backlash method”, are studied.

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Funding

This work was supported by the Russian Foundation for Basic Research and RA Science Committee in the frames of the joint RFBR research project, nos. 20-51-05008 Аrm_a and SCS 20RF-144, accordingly, and the Ministry of Science and Higher Education of the Russian Federation, grant no. 0777-2020-0017 and as a part of the “Priority 2030” federal strategic academic leadership program under “2021–2030 Samara University Development Program”.

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Authors and Affiliations

  1. Institute for Informatics and Automation Problems, National Academy of Sciences of the Republic of Armenia, 0014, Yerevan, Armenia

    D. Asatryan, M. Haroutunian & G. Hakobyan

  2. Russian-Armenian University, 0051, Yerevan, Armenia

    D. Asatryan

  3. Samara National Research University, 443086, Samara, Russia

    A. Kupriyanov, R. Paringer & D. Kirsh

  4. Image Processing Systems Institute—Branch of FSRC Crystallography and Photonics, Russian Academy of Sciences, 443001, Samara, Russia

    A. Kupriyanov, R. Paringer & D. Kirsh

Authors
  1. D. Asatryan
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  2. M. Haroutunian
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  3. A. Kupriyanov
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  4. G. Hakobyan
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  5. R. Paringer
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  6. D. Kirsh
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Correspondence to D. Kirsh.

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Asatryan, D., Haroutunian, M., Kupriyanov, A. et al. Automatic Dominant Orientation Estimation in Texture Images Using the Scattering Ellipse of the Gradients. Opt. Mem. Neural Networks 31 (Suppl 1), 1–7 (2022). https://doi.org/10.3103/S1060992X22050022

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  • DOI: https://doi.org/10.3103/S1060992X22050022

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