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Level set and PDE based reconstructi...

Burger, Martin ((Mathematician))

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Level set and PDE based reconstruction methods in imaging : = Cetraro, Italy, 2008 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Level set and PDE based reconstruction methods in imaging :/ Martin Burger, Andrea C.G. Mennucci, Stanley Osher, Martin Rumpf ; editors: Martin Burger, Stanley Osher.
其他題名:	Cetraro, Italy, 2008 /
其他作者:	Burger, Martin
出版者:	Cham [Switzerland] :Springer ; : 2013.,
面頁冊數:	vii, 319 p. :ill. (some col.) ;24 cm.
標題:	Level set methods - Congresses. -
ISBN:	9783319017112 (pbk.) :

Level set and PDE based reconstruction methods in imaging : = Cetraro, Italy, 2008 /
Level set and PDE based reconstruction methods in imaging :Cetraro, Italy, 2008 /Martin Burger, Andrea C.G. Mennucci, Stanley Osher, Martin Rumpf ; editors: Martin Burger, Stanley Osher. - Cham [Switzerland] :Springer ;2013. - vii, 319 p. :ill. (some col.) ;24 cm. - Lecture notes in mathematics,20900075-8434 ;. - Lecture notes in mathematics (Springer-Verlag) ;2002..

Includes bibliographical references.

A guide to the TV zoo /Martin Burger, Stanley Osher --

This book takes readers on a tour through modern methods in image analysis and reconstruction based on level set and PDE techniques, the major focus being on morphological and geometric structures in images. The aspects covered include edge-sharpening image reconstruction and denoising, segmentation and shape analysis in images, and image matching. For each, the lecture notes provide insights into the basic analysis of modern variational and PDE-based techniques, as well as computational aspects and applications.

ISBN: 9783319017112 (pbk.) :EUR44.99Subjects--Topical Terms:

2024489
Level set methods
--Congresses.

Level set and PDE based reconstruction methods in imaging : = Cetraro, Italy, 2008 /
LDR:01672cam a2200229Ii 4500 001 1900917
003 OCoLC
005 20140220045045.0
008 140121s2013 sz a b 100 0 eng d
020 $a 9783319017112 (pbk.) : $c EUR44.99
020 $a 331901711X (pbk.)
020 $a 9783319017129 (ebk.)
020 $a 3319017128 (ebk.)
035 $a AS-BW-103-02
040 $a OHX $b eng
245 1 0 $a Level set and PDE based reconstruction methods in imaging : $b Cetraro, Italy, 2008 / $c Martin Burger, Andrea C.G. Mennucci, Stanley Osher, Martin Rumpf ; editors: Martin Burger, Stanley Osher.
260 # $a Cham [Switzerland] : $b Springer ; $a Firenze : $b Fondazione CIME Roberto Conti, $c 2013.
300 $a vii, 319 p. : $b ill. (some col.) ; $c 24 cm.
490 1 0 $a Lecture notes in mathematics, $x 0075-8434 ; $v 2090
490 1 0 $a CIME Foundation subseries
504 $a Includes bibliographical references.
505 0 # $t A guide to the TV zoo / $r Martin Burger, Stanley Osher -- $t EM-TV methods for inverse problems with Poisson noise / $r Alex Sawatzky...[and more] -- $t Variational methods in image matching and motion extraction / $r Martin Rumof -- $t Metrics of curves in shape optimization and analysis / $r Andrea C.G. Mennucci.
520 # $a This book takes readers on a tour through modern methods in image analysis and reconstruction based on level set and PDE techniques, the major focus being on morphological and geometric structures in images. The aspects covered include edge-sharpening image reconstruction and denoising, segmentation and shape analysis in images, and image matching. For each, the lecture notes provide insights into the basic analysis of modern variational and PDE-based techniques, as well as computational aspects and applications.
650 # 0 $a Level set methods $v Congresses. $3 2024489
650 # 0 $a Differential equations, Partial $3 704049
650 # 0 $a Image reconstruction $v Congresses. $3 2024490
650 # 0 $a Image analysis $v Congresses. $3 1620680
650 # 0 $a Inverse problems (Differential equations) $3 566558
700 1 # $a Burger, Martin $c (Mathematician) $3 2024486
700 1 # $a Osher, Stanley. $3 745394
700 1 # $a Mennucci, Andrea Carlo Giuseppe. $3 2024487
700 1 # $a Rumpf, Martin. $3 2024488
830 0 $a Lecture notes in mathematics (Springer-Verlag) ; $v 2002. $3 1235985
830 0 $a Lecture notes in mathematics (Springer-Verlag). $p CIME Foundation subseries. $3 2024480