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Proceedings Paper

An Image Processing Computer Which Learns By Example
Author(s): Andrew M. Gillies
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Paper Abstract

The cytocomputer, an image processing computer employing logical neighborhood operations similar to cellular automata transition functions has been developed. Various sequences of cytocomputer operations transform a primitive image configuration (a single dot) into various geometric shapes. A system has been developed which, when presented with an image containing some shape, produces a sequence of cytocomputer operations which generates that shape. The system uses a genetic algorithm to find the correct sequence of operations. In the genetic algorithm, strings of cytocomputer commands play the role of chromosomes, and undergo reproduction, crossover, and mutation in a process that mimics the scheme evolution uses to find increasingly fit biological organisms. The commands for generating a shape, once known, can be transformed for use in a pattern matching process which detects the presence of the shape in an image.

Paper Details

Date Published: 9 January 1979
PDF: 7 pages
Proc. SPIE 0155, Image Understanding Systems and Industrial Applications I, (9 January 1979); doi: 10.1117/12.956738
Show Author Affiliations
Andrew M. Gillies, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 0155:
Image Understanding Systems and Industrial Applications I
Ram Nevatia, Editor(s)

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