Efficient neural network implementation of morphological operations

Aldo Morales, Sung Jea Ko

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


In this paper we introduce a neural network implementation of gray scale operators. In this structure, synaptic weights are represented by a gray scale structuring element and trained by a learning algorithm based on an optimal criterion called the overall equality index. It will be shown that the proposed algorithm leads to a computationally simple implementation. Numerical examples will be presented to illustrate its performance.

Original languageEnglish (US)
Pages (from-to)276-286
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Apr 1 1992
EventNonlinear Image Processing III 1992 - San Jose, United States
Duration: Feb 9 1992Feb 14 1992

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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