Dipole and Quadrupole Moments in Image Processing

TL;DR

This paper introduces a novel image processing algorithm that adapts physical dipole and quadrupole moments to gray-tone maps for improved edge detection.

Contribution

It presents a new method for edge detection by defining and applying dipole and quadrupole moments to image maps, inspired by physical charge distributions.

Findings

Effective edge detection using dipole and quadrupole moments

Demonstrated applicability to gray-tone image maps

Provides a physics-inspired approach to image analysis

Abstract

This paper proposes an algorithm for image processing, obtained by adapting to image maps the definitions of two well-known physical quantities. These quantities are the dipole and quadrupole moments of a charge distribution. We will see how it is possible to define dipole and quadrupole moments for the gray-tone maps and apply them in the development of algorithms for edge detection.