K-means clustering for support construction in diffractive imaging


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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/54554

Title:	K-means clustering for support construction in diffractive imaging
Authors:	Hattanda, Shunsuke Browse this author
	Shioya, Hiroyuki Browse this author →KAKEN DB
	Maehara, Yosuke Browse this author
	Gohara, Kazutoshi Browse this author →KAKEN DB
Issue Date:	5-Feb-2014
Publisher:	Optical Society of America
Journal Title:	Journal of the Optical Society of America A
Volume:	31
Issue:	3
Start Page:	470
Publisher DOI:	10.1364/JOSAA.31.000470
Abstract:	A method for constructing an object support based on K-means clustering of the object-intensity distribution is newly presented in diffractive imaging. This releases the adjustment of unknown parameters in the support construction, and it is well incorporated with the Gerchberg and Saxton diagram. A simple numerical simulation reveals that the proposed method is effective for dynamically constructing the support without an initial prior support.
Type:	article
URI:	http://hdl.handle.net/2115/54554
Appears in Collections:	工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 郷原一寿

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