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Optimal decomposition of large-neighborhood CNN templates

terBrugge, M H ; Nijhuis, J, A, G and Spaanenburg, Lambert LU (2004) Int. Workshop on Cellular Networks and their Applications (CNNA) p.160-165
Abstract
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 CNN realizations often only communicate with cells in their direct neighborhood. In this paper the existing relation between Mathematical Morphology and CNNs is used to derive an optimal template decomposition strategy for a specific

class of templates. The strategy is based on the decomposition of morphological structuring elements.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings 8th CNNA
pages
160 - 165
conference name
Int. Workshop on Cellular Networks and their Applications (CNNA)
conference location
Budapest, Hungary
conference dates
2004-07-22 - 2004-07-24
language
English
LU publication?
yes
id
abe201b3-634c-4e6d-a093-5914347e0fc4 (old id 603833)
date added to LUP
2016-04-04 13:49:57
date last changed
2018-11-21 21:16:35
@inproceedings{abe201b3-634c-4e6d-a093-5914347e0fc4,
  abstract     = {{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 CNN realizations often only communicate with cells in their direct neighborhood. In this paper the existing relation between Mathematical Morphology and CNNs is used to derive an optimal template decomposition strategy for a specific<br/><br>
class of templates. The strategy is based on the decomposition of morphological structuring elements.}},
  author       = {{terBrugge, M H and Nijhuis, J, A, G and Spaanenburg, Lambert}},
  booktitle    = {{Proceedings 8th CNNA}},
  language     = {{eng}},
  pages        = {{160--165}},
  title        = {{Optimal decomposition of large-neighborhood CNN templates}},
  year         = {{2004}},
}