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.

Code

Image processing classes:

• nonmax.java Non-Maximum Suppression
• sobel.java Sobel Edge Detection

Demo framework:

• nonmaxDemo.java

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.

Links

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

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