Advanced

On the analysis of neural networks for image processing

van der Zwaag, BJ; Slump, K and Spaanenburg, Lambert LU (2003) 7th Int. Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES) In Lecture Notes in Computer Science (Knowledge-Based Intelligent Information and Engineering Systems, Proceedings Pt 2) 2774. p.950-957
Abstract
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight into their internal functionality. To this purpose, we will show analysis results of some feed-forward-error-back-propagation neural networks for image processing. We win describe them in terms of domain-dependent basic functions, which axe, in the case of the digital image processing domain, differential operators of various orders and with various angles of operation. Some other pixel classification techniques axe analyzed in the same way, enabling easy comparison.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Lecture Notes in Computer Science (Knowledge-Based Intelligent Information and Engineering Systems, Proceedings Pt 2)
volume
2774
pages
950 - 957
publisher
Springer
conference name
7th Int. Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES)
external identifiers
  • wos:000186518100130
ISSN
0302-9743
1611-3349
ISBN
978-3-540-40804-8
DOI
10.1007/b12003
language
English
LU publication?
yes
id
ed960317-ac12-4a02-9f06-3db9189326c3 (old id 294930)
date added to LUP
2007-09-23 13:41:35
date last changed
2016-04-15 18:59:01
@inproceedings{ed960317-ac12-4a02-9f06-3db9189326c3,
  abstract     = {This paper illustrates a novel method to analyze artificial neural networks so as to gain insight into their internal functionality. To this purpose, we will show analysis results of some feed-forward-error-back-propagation neural networks for image processing. We win describe them in terms of domain-dependent basic functions, which axe, in the case of the digital image processing domain, differential operators of various orders and with various angles of operation. Some other pixel classification techniques axe analyzed in the same way, enabling easy comparison.},
  author       = {van der Zwaag, BJ and Slump, K and Spaanenburg, Lambert},
  booktitle    = {Lecture Notes in Computer Science (Knowledge-Based Intelligent Information and Engineering Systems, Proceedings Pt 2)},
  isbn         = {978-3-540-40804-8},
  issn         = {0302-9743},
  language     = {eng},
  pages        = {950--957},
  publisher    = {Springer},
  title        = {On the analysis of neural networks for image processing},
  url          = {http://dx.doi.org/10.1007/b12003},
  volume       = {2774},
  year         = {2003},
}