Object

Title: Gradient-based technique for image structural analysis and applications

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.

Place of publishing:

Image Processing Systems Institute оf RAS – Branch of the FSRC “Crystallography and Photonics” RAS

Date submitted:

13.06.2018

Date accepted:

19.12.2018

Date of publication:

19.12.2019

Identifier:

oai:noad.sci.am:135974

DOI:

10.18287/2412-6179-2019-43-2-245-250

ISSN:

0134-2452

Language:

English

Journal or Publication Title:

Computer Optics

Volume:

43

Number:

2

URL:

click here to follow the link

Additional Information:

dasat@ipia.sci.am

Affiliation:

Institute for Informatics and Automation Problems of NAS RA ; Russian-Armenian University

Country:

Armenia

Indexing:

RSCI

Object collections:

Last modified:

May 3, 2021

In our library since:

Jul 28, 2020

Number of object content hits:

12

All available object's versions:

https://noad.sci.am/publication/149584

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