Morphological Template Decomposition for DT-CNN

M H ter Brugge, J A G Nijhuis, Lambert Spaanenburg

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingResearchpeer-review

Abstract

In this paper the established link between Mathematical Morphology and DT-CNN is
used to derive a new template decomposition procedure. It is based on the decomposition
of morphological structuring elements. From a practical point of view, template
decomposition is an important issue since image processing operations can be non-local
while the cells in physical DT-CNN realizations often only communicate with cells in
their direct neighborhood. Here we apply techniques from morphological algebra to
derive a DT-CNN template decomposition strategy, which is far more efficient in terms
of the number of templates in the decomposition than the traditional decomposition
strategy. In a typical 9 x 9 example, the number of templates reduces from 125 to 14.
Original languageEnglish
Title of host publicationProceedings BNAIC?02
Pages35-42
Publication statusPublished - 2002
EventBelgium/Netherlands Conference on Artificial Conference (BNAIC) - Leuven, Belgium
Duration: 0001 Jan 2 → …

Conference

ConferenceBelgium/Netherlands Conference on Artificial Conference (BNAIC)
Country/TerritoryBelgium
CityLeuven
Period0001/01/02 → …

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

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