Texture boundary detection based on multiple and parrllel cellular neural networks

Full metadata record

DC Field	Value	Language
dc.contributor.author	Lin, CT	en_US
dc.contributor.author	Huang, CH	en_US
dc.date.accessioned	2014-12-08T15:25:42Z	-
dc.date.available	2014-12-08T15:25:42Z	-
dc.date.issued	2004	en_US
dc.identifier.isbn	0-7803-8715-5	en_US
dc.identifier.uri	http://hdl.handle.net/11536/18112	-
dc.description.abstract	In this paper, a texture boundary detection model has been introduced. It is inspired by the architecture of retina - the film of human's eyes. Based on the innovation - a multiple and parallel CNN processors, we implemented a retina-like model and thus the boundary of texture can be obtained.	en_US
dc.language.iso	en_US	en_US
dc.title	Texture boundary detection based on multiple and parrllel cellular neural networks	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.journal	ICECS 2004: 11th IEEE International Conference on Electronics, Circuits and Systems	en_US
dc.citation.spage	222	en_US
dc.citation.epage	225	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.identifier.wosnumber	WOS:000228424500057	-
Appears in Collections:	Conferences Paper