Wavelet-based texture segmentation of titanium based alloy lamellar microstructure: application to images from optical microscope and X-ray microtomography

dc.contributor.author	Babout, Laurent
dc.contributor.author	Jopek, Łukasz
dc.contributor.author	Janaszewski, Marcin
dc.contributor.author	Preuss, Michael
dc.contributor.author	Buffiere, Jean-Yves
dc.date.accessioned	2015-06-03T11:14:45Z
dc.date.available	2015-06-03T11:14:45Z
dc.date.issued	2009
dc.description.abstract	A texture segmentation algorithm which combines grey level intensity from 2 images after discrete wavelet transform and variance has been applied on 2D images to segment lamellar colonies in (α+β) titanium alloy Ti6A14V. Images were acquired using both optical microscope and X-ray tomography. The results are satisfying for the former technique and encouraging for the latter one. Possible extension of the method to volumetric data is presented.	en_EN
dc.format	application/pdf
dc.identifier.citation	Zeszyty Naukowe Politechniki Łódzkiej. Elektryka., 2009 z.114 Spec. s.181-187
dc.identifier.issn	0374-4817
dc.identifier.other	P-2090
dc.identifier.other	0000024674
dc.identifier.other	W serii gł. nr 1023.
dc.identifier.uri	http://hdl.handle.net/11652/363
dc.language.iso	en
dc.publisher	Wydawnictwo Politechniki Łódzkiej	pl_PL
dc.publisher	Lodz University of Technology. Press	en_EN
dc.relation.ispartofseries	Zeszyty Naukowe Politechniki Łódzkiej	pl_PL
dc.title	Wavelet-based texture segmentation of titanium based alloy lamellar microstructure: application to images from optical microscope and X-ray microtomography
dc.type	Artykuł
dc.type	Article	en_EN

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