Window-size determination for granulometrical structural texture classification

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Jan, SR	en_US
dc.contributor.author	Hsueh, YC	en_US
dc.date.accessioned	2014-12-08T15:49:14Z	-
dc.date.available	2014-12-08T15:49:14Z	-
dc.date.issued	1998-04-01	en_US
dc.identifier.issn	0167-8655	en_US
dc.identifier.uri	http://hdl.handle.net/11536/32716	-
dc.description.abstract	In this paper we present a method to predict the window size when determining the local granulometry for a structural texture image set. The proposed method is based on the concept of periodicity property of structural texture images. It suggests that one may choose the minimum odd number not less than the maximum periods of texture images as a window size. (C) 1998 Elsevier Science B.V. All rights reserved.	en_US
dc.language.iso	en_US	en_US
dc.subject	granulometry	en_US
dc.subject	local granulometry size distribution	en_US
dc.subject	window size	en_US
dc.subject	structural texture	en_US
dc.subject	texture periodicity	en_US
dc.subject	covariance	en_US
dc.subject	co-occurrence matrix	en_US
dc.title	Window-size determination for granulometrical structural texture classification	en_US
dc.type	Article	en_US
dc.identifier.journal	PATTERN RECOGNITION LETTERS	en_US
dc.citation.volume	19	en_US
dc.citation.issue	5-6	en_US
dc.citation.spage	439	en_US
dc.citation.epage	446	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:000075054100007	-
dc.citation.woscount	6	-
顯示於類別：	期刊論文

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