Color Dipole Moments for Edge Detection

TL;DR

This paper introduces a novel method for edge detection in color images by defining and utilizing color dipole moments, extending the concept from physics to image processing.

Contribution

It proposes a new approach to edge detection using color dipole moments, considering the three primary colors for the first time.

Findings

Color dipole moments effectively highlight edges in color images.

The method leverages physical analogies to improve edge detection accuracy.

It provides a new perspective for analyzing color image features.

Abstract

Dipole and higher moments are physical quantities used to describe a charge distribution. In analogy with electromagnetism, it is possible to define the dipole moments for a gray-scale image, according to the single aspect of a gray-tone map. In this paper we define the color dipole moments for color images. For color maps in fact, we have three aspects, the three primary colors, to consider. Associating three color charges to each pixel, color dipole moments can be easily defined and used for edge detection.