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Edge extracting method and apparatus using diffusion neural network

  • US 5,548,662 A
  • Filed: 11/24/1993
  • Issued: 08/20/1996
  • Est. Priority Date: 02/08/1993
  • Status: Expired due to Fees
First Claim
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1. An apparatus for extracting edges of an object from an image signal, comprising:

  • a distribution neural network including a plurality of neurons, each neuron inducing an excitatory response based on a first predetermined connection weight value according to an intensity of said image signal, and inducing an inhibitory response based on a second predetermined weight value according to said intensity of said image signal; and

    a diffusion neural network including a plurality of neurons for forming a Gaussian distribution representing a regularity of the excitatory and inhibitory responses, each neuron of said diffusion neural network superposing said excitatory response induced by a corresponding neuron of said distribution neural network and said inhibitory responses induced by neurons of said distribution neural network, which are adjacent to said corresponding neuron of said distribution neural network, and diffusing a superposed signal generated by said superposing to form said Gaussian distribution, and the diffusion neural network convolving the Gaussian distribution and the image signal to detect edges of an object in an image represented by said image signal.

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