Easily Testable Image Operators: The Class of Circuits Where Evolution Beats Engineers

نویسندگان

  • Lukás Sekanina
  • Richard Ruzicka
چکیده

The paper deals with a class of image filters in which the evolutionary approach consistently produces excellent and innovative results. Furthermore, a method is proposed that leads to the automatic design of easily testable circuits. In particular we evolved “salt and pepper” noise filters, random shot noise filters, Gaussian noise filters, uniform random noise filters, and edge detectors.

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Lukas Sekanina

Chapter 7 of the book Evolvable Components) Functional-level Cartesian genetic programming was applied to design hardware implementations of low-level, 3x3 kernel image filters (8 bits/pixel). These filters produce images of comparable or better quality than conventional, human-designed, solutions, such as convolution or median filters. Their implementation cost (the number of equivalent gates)...

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تاریخ انتشار 2003