Morphological Template Decomposition for DT-CNN
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/603897
- author
- Brugge, M H ter ; Nijhuis, J A G and Spaanenburg, Lambert LU
- organization
- publishing date
- 2002
- 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}},
}