Digital Image Processing, Analysis and Computer Vision Using Nonlinear Partial Differential Equations
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 proce...
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| Главный автор: | |
|---|---|
| Соавтор: | |
| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Редактирование: | 1st ed. 2025. |
| Серии: | Studies in Computational Intelligence,
1211 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-031-89576-0 |
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| 245 | 1 | 0 | |a Digital Image Processing, Analysis and Computer Vision Using Nonlinear Partial Differential Equations |h [electronic resource] / |c by Tudor Barbu. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a VIII, 157 p. 65 illus., 22 illus. in color. |b online resource. | ||
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| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-9503 ; |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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Differential equations. | |
| 650 | 1 | 4 | |a Signal, Speech and Image Processing. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Differential Equations. |
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| 950 | |a Focus Bundle Electrical and Electronic Engineering (SpringerNature-85403) | ||