國立高雄大學圖資館 |

登入

回首頁

Digital image processing, analysis and computer vision using nonlinear partial differential equations

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Digital image processing, analysis and computer vision using nonlinear partial differential equationsby Tudor Barbu.
作者:	Barbu, Tudor.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	viii, 157 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Differential equations, Partial.
電子資源:	https://doi.org/10.1007/978-3-031-89576-0
ISBN:	9783031895760$q(electronic bk.)

Digital image processing, analysis and computer vision using nonlinear partial differential equations
Barbu, Tudor.

Digital image processing, analysis and computer vision using nonlinear partial differential equations[electronic resource] /by Tudor Barbu. - Cham :Springer Nature Switzerland :2025. - viii, 157 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 12111860-9503 ;. - Studies in computational intelligence ;v. 216..

Introduction -- Nonlinear PDE-based Digital Image Restoration Techniques -- Nonlinear PDE-based Models for Inpainting and Compression -- Nonlinear Diffusion-based Multi-scale Image Analysis Methods -- Variational and PDE-based Static and Video Image Segmentation Approaches -- Nonlinear PDE-based Video Object Detection and Tracking -- Conclusions.

This book provides an overview of the applications of partial differential equations (PDEs) to image processing, analysis, and computer vision domains, focusing mainly on the most important contributions of the author in these closely related fields. It addresses almost all the PDE-based image processing and analysis areas, and the connections between partial differential equations, computer vision, and artificial intelligence: PDE-based image filtering, inpainting, compression, segmentation, content-based recognition, indexing and retrieval, and video object detection and tracking, energy-based (variational) and nonlinear diffusion-based models of second and fourth order, nonlinear PDE-based scale-spaces in combination to convolutional neural networks and high-level descriptors to perform edge and feature extraction.

ISBN: 9783031895760$q(electronic bk.)

Standard No.: 10.1007/978-3-031-89576-0doiSubjects--Topical Terms:

189753
Differential equations, Partial.

LC Class. No.: QA377

Dewey Class. No.: 515.353

Digital image processing, analysis and computer vision using nonlinear partial differential equations
LDR:02321nmm a2200361 a 4500 001 677870
003 DE-He213
005 20250510155216.0
006 m d
007 cr nn 008maaau
008 251021s2025 sz s 0 eng d
020 $a 9783031895760$q(electronic bk.)
020 $a 9783031895753$q(paper)
024 7 $a 10.1007/978-3-031-89576-0 $2 doi
035 $a 978-3-031-89576-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA377
072 7 $a TJF $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC067000 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 515.353 $2 23
090 $a QA377 $b .B241 2025
100 1 $a Barbu, Tudor. $3 830197
245 1 0 $a Digital image processing, analysis and computer vision using nonlinear partial differential equations $h [electronic resource] / $c by Tudor Barbu.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a viii, 157 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1211
505 0 $a Introduction -- Nonlinear PDE-based Digital Image Restoration Techniques -- Nonlinear PDE-based Models for Inpainting and Compression -- Nonlinear Diffusion-based Multi-scale Image Analysis Methods -- Variational and PDE-based Static and Video Image Segmentation Approaches -- Nonlinear PDE-based Video Object Detection and Tracking -- Conclusions.
520 $a This book provides an overview of the applications of partial differential equations (PDEs) to image processing, analysis, and computer vision domains, focusing mainly on the most important contributions of the author in these closely related fields. It addresses almost all the PDE-based image processing and analysis areas, and the connections between partial differential equations, computer vision, and artificial intelligence: PDE-based image filtering, inpainting, compression, segmentation, content-based recognition, indexing and retrieval, and video object detection and tracking, energy-based (variational) and nonlinear diffusion-based models of second and fourth order, nonlinear PDE-based scale-spaces in combination to convolutional neural networks and high-level descriptors to perform edge and feature extraction.
650 0 $a Differential equations, Partial. $3 189753
650 0 $a Differential equations, Nonlinear. $3 185178
650 0 $a Image processing $x Digital techniques. $3 182119
650 0 $a Computer vision $x Mathematics. $3 275689
650 1 4 $a Signal, Speech and Image Processing. $3 919570
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Differential Equations. $3 285983
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-3-031-89576-0
950 $a Engineering (SpringerNature-11647)