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Digital image processing, analysis a...

Barbu, Tudor.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital image processing, analysis and computer vision using nonlinear partial differential equations/ by Tudor Barbu.
Author:	Barbu, Tudor.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	viii, 157 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Differential equations, Partial. -
Online resource:	https://doi.org/10.1007/978-3-031-89576-0
ISBN:	9783031895760

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. 1211..

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

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

518115
Differential equations, Partial.

LC Class. No.: QA377

Dewey Class. No.: 515.353

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