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D. Asatryan (2019)
Gradient-based technique for image structural analysis and applicationsComputer Optics
A.M. Bazen, S.H. Gerez (2002)
Systematic methods for the computation of the directional fields and singular points of fingerprintsIEEE Trans. Pattern Anal. Mach. Intell., 24
W. Bian, D. Xu, Q. Li, Y. Cheng, B. Jie, X. Ding (2019)
A survey of the methods on fingerprint orientation field estimationIEEE Access., 7
N. Ponomarenko, L. Jin, O. Ieremeiev, V. Lukin, K. Egiazarian, J. Astola, B. Vozel, K. Chehdi, M. Carli, F. Battisti (2015)
Image database tid2013: Peculiarities, results and perspectivesSignal Process.: Image Commun., 30
D. Asatryan, K. Egiazarian, V. Kurkchiyan (2010)
Orientation estimation with applications to image analysis and registrationInt. J. Inf. Theor. Appl., 17
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.
Optical Memory and Neural Networks – Springer Journals
Published: Dec 1, 2022
Keywords: texture; dominant image orientation; gradients; scatter ellipse; blur; backlash
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