Abstract
PCNN (pulse coupled neural network), a phenomenological model exhibiting synchronous pulse bursts, can be used in image processing efficiently by the specified algorithm corresponding to the specified application, but so far there has been no general design approach. This paper describes that the parallel pulse-spreading behavior of unit-linking PCNN for image processing, based on PCNN, is equal to the operation of mathematic morphology. Hereby we propose the general unit-linking PCNN design approach for binary image processing. In the meantime, in order to explain how to apply this new general design approach in the specified application, binary image denoising, binary image edge detection, binary image hole-filter based on unit-linking PCNN are analyzed respectively as examples.
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