Computer Vision Demonstration Website

Electronics and Computer Science
University of Southampton

Laplacian & Marr Hildreth Edge Detection

Marr-Hildreth edge detection finds edges by second order differentiation. It also has the ability to detect edges at different scales, much like the human vision system.

How it works

Marr-Hildreth uses the Gaussian smoothing operator to improve the response to noise, and by differentiation the Laplacian of Gaussian is called the LoG operator.

Edges are at the 'zero crossings' of the LoG, which is where there is a change in gradient.


Image processing classes:

Noise generation classes:

Demo framework:

The pages were designed and developed for educational purposes only, to demonstrate how computer vision techniques work. They are designed for no other purpose and neither the authors nor their institutions accept any liability concerning use of these pages.


Mark Nixon & Alberto Aguado, 2002, Feature Extraction & Image Processing, Newnes





ECS | Feature Extraction & Image Processing | © 2005 University of Southampton

University of Southampton