On the Analysis of Neural Networks for Image Processing

Berend-Jan van der Zwaag, Kees Slump, Lambert Spaanenburg

Research output: Chapter in Book/Report/Conference proceedingContribution to conference proceedingAcademicpeer-review

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 will describe them in terms of domain-dependent basic functions, which are, 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 are analyzed in the same way, enabling easy comparison.
Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems
Subtitle of host publication7th International Conference, KES 2003 Oxford, UK, September 3–5, 2003 Proceedings, Part II
EditorsRobert J. Vasile Palade, Lakhmi Jain Howlett
Place of PublicationHeidelberg
PublisherSpringer Nature
Pages950-957
Number of pages8
ISBN (Electronic)978-3-540-45226-3
ISBN (Print)978-3-540-40804-8
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventKnowledge-Based Intelligent Information and Engineering Systems: 7th International Conference - Oxford, United Kingdom
Duration: 3 Sept 20035 Sept 2003

Conference

ConferenceKnowledge-Based Intelligent Information and Engineering Systems
Abbreviated titleKES 2003
Country/TerritoryUnited Kingdom
CityOxford
Period3/09/035/09/03

Keywords

  • image processing
  • neural network

Fingerprint

Dive into the research topics of 'On the Analysis of Neural Networks for Image Processing'. Together they form a unique fingerprint.

Cite this