國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mathematical methods in image proces...

(1998 :)

Mathematical methods in image processing and inverse problemsIPIP 2018, Beijing, China, April 21-24 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical methods in image processing and inverse problemsedited by Xue-Cheng Tai, Suhua Wei, Haiguang Liu.
其他題名:	IPIP 2018, Beijing, China, April 21-24 /
其他題名:	IPIP 2018
其他作者:	Tai, Xue-Cheng.
團體作者:
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	x, 223 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Image processingCongresses.
電子資源:	https://doi.org/10.1007/978-981-16-2701-9
ISBN:	9789811627019$q(electronic bk.)

Mathematical methods in image processing and inverse problemsIPIP 2018, Beijing, China, April 21-24 /
Mathematical methods in image processing and inverse problemsIPIP 2018, Beijing, China, April 21-24 /[electronic resource] :IPIP 2018edited by Xue-Cheng Tai, Suhua Wei, Haiguang Liu. - Singapore :Springer Singapore :2021. - x, 223 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.3602194-1017 ;. - Springer proceedings in mathematics & statistics ;v.19..

This book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing Computational Science Research Center, Beijing, China, April 21-24, 2018. The book was dedicated to Professor Raymond Chan on the occasion of his 60th birthday. The contents of the book cover topics including image reconstruction, image segmentation, image registration, inverse problems and so on. Deep learning, PDE, statistical theory based research methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and applications were presented. The collected papers in this book also give new research trends in deep learning and optimization for imaging science. It should be a good reference for researchers working on related problems, as well as for researchers working on computer vision and visualization, inverse problems, image processing and medical imaging.

ISBN: 9789811627019$q(electronic bk.)

Standard No.: 10.1007/978-981-16-2701-9doiSubjects--Topical Terms:

384485
Image processing
--Congresses.

LC Class. No.: TA1637.5 / .I58 2018

Dewey Class. No.: 621.367

Mathematical methods in image processing and inverse problemsIPIP 2018, Beijing, China, April 21-24 /
LDR:02219nmm a2200337 a 4500 001 609637
003 DE-He213
005 20210925112201.0
006 m d
007 cr nn 008maaau
008 220222s2021 si s 0 eng d
020 $a 9789811627019$q(electronic bk.)
020 $a 9789811627002$q(paper)
024 7 $a 10.1007/978-981-16-2701-9 $2 doi
035 $a 978-981-16-2701-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1637.5 $b .I58 2018
072 7 $a PBW $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBW $2 thema
082 0 4 $a 621.367 $2 23
090 $a TA1637.5 $b .I61 2018
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Mathematical methods in image processing and inverse problems $h [electronic resource] : $b IPIP 2018, Beijing, China, April 21-24 / $c edited by Xue-Cheng Tai, Suhua Wei, Haiguang Liu.
246 3 $a IPIP 2018
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a x, 223 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in mathematics & statistics, $x 2194-1017 ; $v v.360
520 $a This book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing Computational Science Research Center, Beijing, China, April 21-24, 2018. The book was dedicated to Professor Raymond Chan on the occasion of his 60th birthday. The contents of the book cover topics including image reconstruction, image segmentation, image registration, inverse problems and so on. Deep learning, PDE, statistical theory based research methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and applications were presented. The collected papers in this book also give new research trends in deep learning and optimization for imaging science. It should be a good reference for researchers working on related problems, as well as for researchers working on computer vision and visualization, inverse problems, image processing and medical imaging.
650 0 $a Image processing $v Congresses. $3 384485
650 0 $a Image processing $x Mathematics $v Congresses. $3 439192
650 0 $a Inverse problems (Differential equations) $3 189581
650 1 4 $a Applications of Mathematics. $3 273744
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Analysis. $3 273775
700 1 $a Tai, Xue-Cheng. $3 348990
700 1 $a Wei, Suhua. $3 907332
700 1 $a Liu, Haiguang. $3 907333
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer proceedings in mathematics & statistics ; $v v.19. $3 569116
856 4 0 $u https://doi.org/10.1007/978-981-16-2701-9
950 $a Mathematics and Statistics (SpringerNature-11649)