Computer Vision Demonstration Website

Electronics and Computer Science
University of Southampton

Non-Maximum Suppression

Non-maximum suppression is used as an intermediate step in many comptuer vision algorithms.

How it works

Non-maximum supression is often used along with edge detection algorithms. The image is scanned along the image gradient direction, and if pixels are not part of the local maxima they are set to zero. This has the effect of supressing all image information that is not part of local maxima.


Image processing 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