Paper Info
Title
Real-time colour recognition in symbolic programming for machine vision systems
Abstract
It is impossible to collect more than a tiny proportion of all of the possible examples of a given hue to form a training set for a machine that learns to discriminate colours. In view of this, it is argued that colour generelization is essential. Three mechanisms for learning colours, as defined by a human being, are described. One of these is based upon an idea developed by A.P. Plummer and is implemented in a commercial device known as the “intelligent camera”. This implementation can learn the characteristics of coloured scenes presented to it and can segment a video image in real-time. This paper presents four procedures that allow the range of colours learned by such a system to be broadened so that recognition is made more reliable and less prone to generating noisy images that are difficult to analyse. Three of the procedures can be used to improve colour discrimination, while a fourth procedure is used when a single and general colour concept has to be learned. Several experiments were devised to demonstrate the effectiveness of colour generelization. These have shown that it is indeed possible to achieve reliable colour discrimination / recognition for such tasks as inspecting packaging and fruit. A practical system based upon the intelligent camera and controlled by software written in PROLOG has been developed by the authors and is being used in a study of methods for declarative programming of machine vision systems for industrial applications.
Year
DOI
Venue
1995
10.1007/s001380050020
Mach. Vis. Appl.
Keywords
Field
DocType
Machine vision,Systems engineering,Teaching by showing,Real-time colour recognition,PROLOG
Computer vision,Machine vision,Computer science,Image processing,Smart camera,Hue,Symbolic programming,Prolog,Software,Artificial intelligence,Declarative programming,Machine learning
Journal
Volume
Issue
ISSN
8
6
0932-8092
Citations 
PageRank 
References 
1
0.47
6
Authors
2
Name
Order
Citations
PageRank
Bruce G. Batchelor1153.47
Paul F. Whelan256139.95