The application of colour FIRE to robot vision

David Croft, Simon Coupland

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

Abstract:
This paper presents a modified FIRE algorithm capable of performing robust edge detection on full colour images. The colour FIRE algorithm is demonstrated on the well known Lena image and comparisons are made with existing edge detection methods. The main application of the colour FIRE presented here is that of robot vision, in particular the application to robot design for the puck collect competition held annually in Vienna, Austria. We show the colour FIRE algorithm to be useful in a robot vision system, giving a good rate of puck classification whist achieving a very low false positive rate.
Original languageEnglish
Title of host publication2010 UK Workshop on Computational Intelligence (UKCI)
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-4244-8775-2
ISBN (Print)978-1-4244-8774-5
DOIs
Publication statusPublished - 2010
EventUK Workshop on Computational Intelligence : UKCI 2010 - Colchester, United Kingdom
Duration: 8 Sep 201010 Sep 2010

Workshop

WorkshopUK Workshop on Computational Intelligence
CountryUnited Kingdom
CityColchester
Period8/09/1010/09/10

Fingerprint Dive into the research topics of 'The application of colour FIRE to robot vision'. Together they form a unique fingerprint.

Cite this