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

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 dis...

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Bibliographic Details
Published in:Optical memory & neural networks 2022-12, Vol.31 (Suppl 1), p.1-7
Main Authors: Asatryan, D., Haroutunian, M., Kupriyanov, A., Hakobyan, G., Paringer, R., Kirsh, D.
Format: Article
Language:English
Subjects:
Complexity
Computer Science
Information Storage and Retrieval
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Summary: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.
ISSN:1060-992X
1934-7898
DOI:10.3103/S1060992X22050022