Gradient-based technique for image structural analysis and applications
Asatryan D.G.

 

Russian-Armenian University, Armenia, Yerevan,

Institute for Informatics and Automation Problems of National Academy of Sciences of Armenia, Armenia, Yerevan

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Abstract:
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.

Keywords:
Image gradient field, Weibull distribution, similarity measure, dominant orientation, blur estimation, video stream analyse.

Citation:
Asatryan DG. Gradient-based technique for image structural analysis and applications. Computer Optics 2019; 43(2): 245-250. DOI: 10.18287/2412-6179-2019-43-2-245-250.

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