An Image Processing Computer Which Learns By Example

Andrew M. Gillies

doi:10.1117/12.956738

9 January 1979 An Image Processing Computer Which Learns By Example

Andrew M. Gillies

Proceedings Volume 0155, Image Understanding Systems and Industrial Applications I; (1979) https://doi.org/10.1117/12.956738
Event: 22nd Annual Technical Symposium, 1978, San Diego, United States

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.

Citation Download Citation

Andrew M. Gillies "An Image Processing Computer Which Learns By Example", Proc. SPIE 0155, Image Understanding Systems and Industrial Applications I, (9 January 1979); https://doi.org/10.1117/12.956738

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