This paper is devoted to application of gradients field characteristics in selected problems of image intellectual analysis and processing. To analyse the properties and structure of an image several approaches and models based on the use of the gradients field characteristics, are proposed. In this paper, models based on Weibull distribution are considered, an image dominant direction estimation algorithm using the parameters of scattering ellipse of gradients field components is proposed, and a similarity measure of two images with arbitrary dimensions and orientation is proposed. Some examples of applications of these models for estimation of blur and structuredness of an image, for the quality assessment of resizing and rotating algorithms, as well as for detection of a specified object on the image delivered by an unmanned aerial vehicle, are given.
Image Processing Systems Institute оf RAS – Branch of the FSRC “Crystallography and Photonics” RAS
oai:noad.sci.am:135974
10.18287/2412-6179-2019-43-2-245-250
սեղմել այստեղ՝ կապին հետևելու համար
Institute for Informatics and Automation Problems of NAS RA ; Russian-Armenian University
May 3, 2021
Jul 28, 2020
20
https://noad.sci.am/publication/149584
Հրատարակության անուն | Ամսաթիվ |
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David Asatryan, Gradient-based technique for image structural analysis and applications | May 3, 2021 |
Asatryan David Sazhumyan Grigor Sakanyan Bagrat
Asatryan David Sazhumyan Grigor Aznauryan Lusine
Asatryan David Hovsepyan Samvel
Ասատրյան Դավիթ Քուրքչիյան Վարդան Սաժումյան Գրիգոր
Asatryan David