Combining edge detection and colour segmentation in the Four-Legged League

Title: Combining edge detection and colour segmentation in the Four-Legged League
Creator: Murch, Craig L.; Chalup, Stephan K.
Relation: Australasian Conference on Robotics and Automation (ACRA 2004). Proceedings of the 2004 Australasian Conference on Robotics & Automation (Canberra, A.C.T. 6-8 December, 2004)
Relation: http://www.araa.asn.au/acra/acra2004/contents.html
Publisher: Australian Robotics & Automation Association
Resource Type: conference paper
Date: 2004
Description: Humans process images with apparent ease, quickly filtering out useless information and identifying objects based on their shape and colour. In the Four-Legged League of RoboCup, the focus of most vision systems has been on using colour to recognise objects. This single-mindedness has many disadvantages, but edge detection and shape recognition are not panaceas as their computational requirements are too high. This work focuses on a technique to efficiently combine the use of colour and edge detection in order to better recognise the field landmarks and objects found in the controlled environment of the Four-Legged League of RoboCup.
Subject: RoboCup; vision systems; edge detection; colour segmentation; shape recognition; image processing; robotics
Identifier: http://hdl.handle.net/1959.13/31811
Identifier: uon:2823
Identifier: ISBN:0958758360
Language: eng
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