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Morphological Template Decomposition for DT-CNN

Brugge, M H ter ; Nijhuis, J A G and Spaanenburg, Lambert LU (2002) Belgium/Netherlands Conference on Artificial Conference (BNAIC) p.35-42
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

... (More)
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. (Less)
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author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings BNAIC?02
pages
35 - 42
conference name
Belgium/Netherlands Conference on Artificial Conference (BNAIC)
conference location
Leuven, Belgium
conference dates
0001-01-02
language
English
LU publication?
yes
id
25c2a661-2a30-467a-8161-71e9ac84737c (old id 603897)
date added to LUP
2016-04-04 12:55:56
date last changed
2018-11-21 21:11:25
@inproceedings{25c2a661-2a30-467a-8161-71e9ac84737c,
  abstract     = {In this paper the established link between Mathematical Morphology and DT-CNN is<br/><br>
used to derive a new template decomposition procedure. It is based on the decomposition<br/><br>
of morphological structuring elements. From a practical point of view, template<br/><br>
decomposition is an important issue since image processing operations can be non-local<br/><br>
while the cells in physical DT-CNN realizations often only communicate with cells in<br/><br>
their direct neighborhood. Here we apply techniques from morphological algebra to<br/><br>
derive a DT-CNN template decomposition strategy, which is far more efficient in terms<br/><br>
of the number of templates in the decomposition than the traditional decomposition<br/><br>
strategy. In a typical 9 x 9 example, the number of templates reduces from 125 to 14.},
  author       = {Brugge, M H  ter and Nijhuis, J A G and Spaanenburg, Lambert},
  booktitle    = {Proceedings BNAIC?02},
  language     = {eng},
  pages        = {35--42},
  title        = {Morphological Template Decomposition for DT-CNN},
  year         = {2002},
}