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Lapwing - A trainable image recognition system for the linear array processor

  • Ian Poole
  • Hilary Adams
Special Hardware Architectures And Algorithms
Part of the Lecture Notes in Computer Science book series (LNCS, volume 301)

Abstract

A trainable recognition system intended for the detection of features in satellite imagery and for potential application to, for example, production line inspection has been constructed. A genetic search algorithm is used to find linear discriminant functions which will partition the pattern space and isolate the required features. The partitions are built up hierachically and represented as a classification tree. The training phase generates programs for the Linear Array Processor permitting subsequent images to be processed rapidly. It is shown that the system can generate a relaxation process to exploit contextual information.

Keywords

Genetic Algorithm Classification Tree National Physical Laboratory Pattern Space Linear Discriminant Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Ian Poole
    • 1
  • Hilary Adams
    • 2
  1. 1.Department of Computer ScienceUniversity College LondonLondon
  2. 2.Department of Computer ScienceUniversity of YorkHeslington

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