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.

Applying the Generalized Compass Operator for Image Dominant Orientation Estimation

“…PCA technique also can be based on the analysis of image gradients field and forming of scattering ellipse [10,11]. The large axis of the scattering ellipse of the gradients field coincided with the line of orthogonal regression, and the slope angle α is taken as the dominant orientation of the image.…”