Advanced Image Processing and Computer Vision
Advanced image processing (AIP) and computer vision (CV) remain dynamic and rapidly evolving research areas that drive innovation across a wide range of real-world applications. AI has become a fundamental enabler of AIP and CV, enhancing their capabilities and expanding their impact in multiple dom...
Zapisane w:
| Format: | Online |
|---|---|
| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20260416T142754_9783725857838_2 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
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| _version_ | 1869530283311628288 |
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| collection | Directory of Open Access Books |
| description | Advanced image processing (AIP) and computer vision (CV) remain dynamic and rapidly evolving research areas that drive innovation across a wide range of real-world applications. AI has become a fundamental enabler of AIP and CV, enhancing their capabilities and expanding their impact in multiple domains. While current AI-based algorithms have achieved impressive results through data-driven approaches, many challenges persist, particularly when dealing with limited or low-quality data. These limitations highlight the need for novel methods that are capable of improving accuracy, robustness, and adaptability in complex environments. This Reprint brings together original research articles, comprehensive reviews, and in-depth technical studies focused on the development and application of innovative AI-based algorithms for AIP and CV. It emphasizes emerging approaches that address data scarcity, optimize performance in critical settings, and align with human-centric principles, including ethical and fair AI. Although special attention is given to medical and healthcare applications, the Reprint also reflects the broader relevance of these technologies across agriculture, environmental monitoring, and other applied fields. |
| format | Online |
| id | doab-20.500.12854ir-174947 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1749472026-04-16T17:51:28Z Advanced Image Processing and Computer Vision Tomassini, Selene Dewan, M. Ali Artificial intelligence Computer vision Image processing and analysis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Advanced image processing (AIP) and computer vision (CV) remain dynamic and rapidly evolving research areas that drive innovation across a wide range of real-world applications. AI has become a fundamental enabler of AIP and CV, enhancing their capabilities and expanding their impact in multiple domains. While current AI-based algorithms have achieved impressive results through data-driven approaches, many challenges persist, particularly when dealing with limited or low-quality data. These limitations highlight the need for novel methods that are capable of improving accuracy, robustness, and adaptability in complex environments. This Reprint brings together original research articles, comprehensive reviews, and in-depth technical studies focused on the development and application of innovative AI-based algorithms for AIP and CV. It emphasizes emerging approaches that address data scarcity, optimize performance in critical settings, and align with human-centric principles, including ethical and fair AI. Although special attention is given to medical and healthcare applications, the Reprint also reflects the broader relevance of these technologies across agriculture, environmental monitoring, and other applied fields. 2026-04-16T17:51:19Z 2026-04-16T17:51:19Z 2025 book ONIX_20260416T142754_9783725857838_2 9783725857838 9783725857845 https://directory.doabooks.org/handle/20.500.12854/174947 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11846 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5784-5 10.3390/books978-3-7258-5784-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725857838 9783725857845 336 CH open access |
| spellingShingle | Artificial intelligence Computer vision Image processing and analysis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Advanced Image Processing and Computer Vision |
| title | Advanced Image Processing and Computer Vision |
| title_full | Advanced Image Processing and Computer Vision |
| title_fullStr | Advanced Image Processing and Computer Vision |
| title_full_unstemmed | Advanced Image Processing and Computer Vision |
| title_short | Advanced Image Processing and Computer Vision |
| title_sort | advanced image processing and computer vision |
| topic | Artificial intelligence Computer vision Image processing and analysis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | Artificial intelligence Computer vision Image processing and analysis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20260416T142754_9783725857838_2 |