On the analysis of neural networks for image processing

Autor:	van der Zwaag, B.J., Slump, Cornelis H., Spaanenburg, Lambert, Palade, Vasile, Howlett, Robert J., Jain, Lakhmi
Rok vydání:	2003
Předmět:	Artificial neural network Computer science business.industry Image processing Pattern recognition Edge detection Domain (software engineering) METIS-212150 Digital image processing Computer vision Artificial intelligence EWI-9667 business IR-45400
Zdroj:	Proceedings of KES2003 vol. II, 950-957 STARTPAGE=950;ENDPAGE=957;TITLE=Proceedings of KES2003 vol. II Lecture Notes in Computer Science ISBN: 9783540408048 KES
DOI:	10.1007/978-3-540-45226-3_130
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6371a9c2f694858099fe486ab6903dc5 https://doi.org/10.1007/978-3-540-45226-3_130 Zobrazit plný text záznamu