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

Automatic Dominant Orientation Estimation in Texture Images Using the Scattering Ellipse of the... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Optical Memory and Neural Networks Springer Journals

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

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References (5)

Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2022. ISSN 1060-992X, Optical Memory and Neural Networks, 2022, Vol. 31, Suppl. 1, pp. S1–S7. © Allerton Press, Inc., 2022.
ISSN
1060-992X
eISSN
1934-7898
DOI
10.3103/s1060992x22050022
Publisher site
See Article on Publisher Site

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.

Journal

Optical Memory and Neural NetworksSpringer Journals

Published: Dec 1, 2022

Keywords: texture; dominant image orientation; gradients; scatter ellipse; blur; backlash

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