Advances in Computer Vision and Deep Learning and Its Applications
The aim of this Reprint is to immerse the reader in the latest findings regarding image-processing technology. Currently, image-processing technology is at the core of artificial intelligence, with the aim being to design computer programs that can achieve or mimic human-like intelligence in terms o...
Zapisane w:
| Format: | Online |
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| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20250812T110751_9783725841950_374 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
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| _version_ | 1869522348449726464 |
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| collection | Directory of Open Access Books |
| description | The aim of this Reprint is to immerse the reader in the latest findings regarding image-processing technology. Currently, image-processing technology is at the core of artificial intelligence, with the aim being to design computer programs that can achieve or mimic human-like intelligence in terms of perception and inference in the real world. With the rapid development of visual sensors and imaging technologies, image analysis and pattern recognition techniques have been extensively applied in various artificial-intelligence-related fields, ranging from industry and agriculture to surveillance, social security, and beyond. Up to now, image-processing technology based on deep learning has rapidly developed and become the most successful applied intelligent technology. Pattern recognition is an important research field in image processing and includes image preprocessing, feature extraction and selection, classifier design, and classification decisions. This Reprint covers advancements in ten research directions: computer vision; feature extraction and image selection; pattern recognition for image-processing techniques; image processing in intelligent transportation; neural networks; machine learning and deep learning; biomedical image processing and recognition; image processing for intelligent surveillance; deep learning for image processing, robotics, and unmanned systems; and AI-based image processing, understanding, recognition, compression, and reconstruction. |
| format | Online |
| id | doab-20.500.12854ir-165619 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1656192025-08-12T10:00:51Z Advances in Computer Vision and Deep Learning and Its Applications Iwahori, Yuji Wu, Haibin Wang, Aili computer vision pattern recognition deep learning machine learning computational intelligence media information technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries The aim of this Reprint is to immerse the reader in the latest findings regarding image-processing technology. Currently, image-processing technology is at the core of artificial intelligence, with the aim being to design computer programs that can achieve or mimic human-like intelligence in terms of perception and inference in the real world. With the rapid development of visual sensors and imaging technologies, image analysis and pattern recognition techniques have been extensively applied in various artificial-intelligence-related fields, ranging from industry and agriculture to surveillance, social security, and beyond. Up to now, image-processing technology based on deep learning has rapidly developed and become the most successful applied intelligent technology. Pattern recognition is an important research field in image processing and includes image preprocessing, feature extraction and selection, classifier design, and classification decisions. This Reprint covers advancements in ten research directions: computer vision; feature extraction and image selection; pattern recognition for image-processing techniques; image processing in intelligent transportation; neural networks; machine learning and deep learning; biomedical image processing and recognition; image processing for intelligent surveillance; deep learning for image processing, robotics, and unmanned systems; and AI-based image processing, understanding, recognition, compression, and reconstruction. 2025-08-12T10:00:49Z 2025-08-12T10:00:49Z 2025 book ONIX_20250812T110751_9783725841950_374 9783725841950 9783725841967 https://directory.doabooks.org/handle/20.500.12854/165619 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11073 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4196-7 10.3390/books978-3-7258-4196-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725841950 9783725841967 652 open access |
| spellingShingle | computer vision pattern recognition deep learning machine learning computational intelligence media information technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Advances in Computer Vision and Deep Learning and Its Applications |
| title | Advances in Computer Vision and Deep Learning and Its Applications |
| title_full | Advances in Computer Vision and Deep Learning and Its Applications |
| title_fullStr | Advances in Computer Vision and Deep Learning and Its Applications |
| title_full_unstemmed | Advances in Computer Vision and Deep Learning and Its Applications |
| title_short | Advances in Computer Vision and Deep Learning and Its Applications |
| title_sort | advances in computer vision and deep learning and its applications |
| topic | computer vision pattern recognition deep learning machine learning computational intelligence media information technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | computer vision pattern recognition deep learning machine learning computational intelligence media information technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20250812T110751_9783725841950_374 |