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.
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 language | English |
|---|---|
| Title of host publication | 2010 UK Workshop on Computational Intelligence (UKCI) |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-4244-8775-2 |
| ISBN (Print) | 978-1-4244-8774-5 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | UK Workshop on Computational Intelligence : UKCI 2010 - Colchester, United Kingdom Duration: 8 Sept 2010 → 10 Sept 2010 |
Workshop
| Workshop | UK Workshop on Computational Intelligence |
|---|---|
| Country/Territory | United Kingdom |
| City | Colchester |
| Period | 8/09/10 → 10/09/10 |