Suchergebnisse - pattern recognition system. image processing real-time data processing.

Image Enhancement Combined with LLM Collaboration for Low-Contrast Image Character Recognition.

Autoren: Qin, Qin Jiang, Xuan Jiang, Jinhua et al.

Quelle: Computers, Materials & Continua; 2025, Vol. 85 Issue 3, p4849-4867, 19p

Schlagwörter: OPTICAL character recognition, IMAGE enhancement (Imaging systems), PATTERN recognition systems, SIGNAL processing, WAVELET transforms, DEEP learning, IMAGE processing, MULTIAGENT systems

Moving Object Detection and Tracking Algorithm Using Hybrid Decomposition Parallel Processing

Autoren: M. Gomathy Nayagam K. Ramar K. S. Venkatesh et al.

Quelle: Intelligent Automation & Soft Computing. 33:1485-1499

Schlagwörter: Stereo Vision and Depth Estimation, Real-time Tracking, Visual Tracking, Artificial intelligence, Object detection, Pattern recognition (psychology), Motion Detection, Mathematical analysis, Visual Object Tracking and Person Re-identification, Image processing, Tracking (education), Parallel processing, Image (mathematics), FOS: Mathematics, Psychology, Biology, Image Enhancement Techniques, Decomposition, Domain (mathematical analysis), Ecology, Pedagogy, Frame rate, Computer hardware, Computer science, Data processing, FOS: Psychology, Object Tracking, Video processing, Operating system, Video tracking, FOS: Biological sciences, Computer Science, Physical Sciences, Multiple Object Tracking, Telecommunications, Computer vision, Computer Vision and Pattern Recognition, Mathematics, Frame (networking)

Real-Time Glaucoma Detection From Digital Fundus Images Using Self-ONNs

Autoren: Ozer Can Devecioglu Junaid Malik Turker Ince et al.

Weitere Verfasser: Ozer Can Devecioglu Junaid Malik Turker Ince et al.

Quelle: IEEE Access, Vol 9, Pp 140031-140041 (2021)

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, operational neural networks, Computer Vision and Pattern Recognition (cs.CV), Complex networks, Computer Science - Computer Vision and Pattern Recognition, Convolutional neural network, 02 engineering and technology, transfer learning, E-learning, medical image processing, Machine Learning (cs.LG), Real- time, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Convolutional neural network: glaucoma detection, glaucoma detection [Convolutional neural network], Image and Video Processing (eess.IV), Deep learning, Electrical Engineering and Systems Science - Image and Video Processing, 113 Computer and information sciences, Operational neural network, Convolution, Transfer learning, TK1-9971, Computational complexity, Benchmarking, Ophthalmology, Artificial Intelligence (cs.AI), Neural-networks, Digital fundus images, Convolutional neural networks, Medical imaging, Electrical engineering. Electronics. Nuclear engineering, Optical data processing, Glaucoma detection, Convolutional neural networks: glaucoma detection, Self-organised, Medical images processing

Dateibeschreibung: fulltext

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09559961.pdf
http://arxiv.org/abs/2109.13604
https://doaj.org/article/1e7dc0a710e248f58967140749bfdc49
https://ieeexplore.ieee.org/document/9559961/
https://arxiv.org/pdf/2109.13604
https://dblp.uni-trier.de/db/journals/corr/corr2109.html#abs-2109-13604
https://arxiv.org/abs/2109.13604
https://trepo.tuni.fi/handle/10024/135426
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118196905&doi=10.1109/ACCESS.2021.3118102&partnerID=40&md5=5b585cf6eb951060d376a8e8259fece1
https://hdl.handle.net/10576/30594
https://trepo.tuni.fi/handle/10024/135426

Image processing based data reduction technique in WVSN for smart agriculture.

Autoren: Koteich, Jana Salim, Christian Mitton, Nathalie

Quelle: Computing; Dec2023, Vol. 105 Issue 12, p2675-2698, 24p

Schlagwörter: DATA reduction, PATTERN recognition systems, IMAGE processing, WIRELESS sensor networks, ELECTRONIC data processing, CAMCORDERS, PRECISION farming

Application of Information Theory to Computer Vision and Image Processing.

Autoren: Flores-Fuentes, Wendy Sergiyenko, Oleg Rodríguez-Quiñonez, Julio C. et al.

Quelle: Entropy; Feb2024, Vol. 26 Issue 2, p114, 9p

Schlagwörter: INFORMATION theory, IMAGE processing, COMPUTER vision, DEEP learning, ELECTRONIC noise, PATTERN recognition systems, ARTIFICIAL neural networks

Deep Learning, Machine Learning -- Digital Signal and Image Processing: From Theory to Application

Autoren: Hsieh, Weiche Bi, Ziqian Liu, Junyu et al.

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Graphics, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, Electrical Engineering and Systems Science - Signal Processing, Graphics (cs.GR)

Zugangs-URL: http://arxiv.org/abs/2410.20304

Learning audio and image representations with bio-inspired trainable feature extractors

Autoren: Strisciuglio, Nicola

Quelle: ELCVIA: electronic letters on computer vision and image analysis; Vol. 16, Núm. 2 (2017): Special Issue on Recent PhD Thesis Dissemination (2017); p. 17-20

Schlagwörter: image processing, audio processing, representation learning, pattern recognition, trainable feature extractors, trainable filters, medical image analysis, event detection, image analysis, audio analysis, applications

Dateibeschreibung: application/pdf

Relation: https://www.raco.cat/index.php/ELCVIA/article/view/336170/426960

Zugangs-URL: https://www.raco.cat/index.php/ELCVIA/article/view/336170

Digital Health and Wireless Solutions : First Nordic Conference​, NCDHWS 2024, Oulu, Finland, May 7–8, 2024, Proceedings, Part I

Autoren: Mariella Särestöniemi Pantea Keikhosrokiani Daljeet Singh et al.

Resource Type: eBook.

Schlagworte: Wireless communication systems--Congresses, Medicine--Data processing--Congresses, Medical informatics--Congresses

Categories: MEDICAL / Informatics, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / Bioinformatics, MEDICAL / Public Health, TECHNOLOGY & ENGINEERING / Biomedical

Computer vision-based approaches to cattle identification: A comparative evaluation of body texture, QR code, and numerical labelling.

Autoren: BUMBÁLEK, ROMAN MARCEL UFITIKIREZI, JEAN DE DIEU ZOUBEK, TOMÁŠ et al.

Quelle: Czech Journal of Animal Science. 2025, Vol. 70 Issue 9, p383-396. 14p.

Schlagworte: Cattle, Computer vision, Pastoral systems, Texture analysis (Image processing), Convolutional neural networks, Two-dimensional bar codes, Animal welfare

Bone-tissue decomposition of a single X-ray image via solving a Laplace equation.

Autoren: Wei, Zhili Tang, Wenming Gong, Yuanhao

Quelle: PeerJ; Sep2025, p1-23, 23p

Schlagwörter: X-ray imaging, LAPLACE'S equation, IMAGE enhancement (Imaging systems), IMAGE processing, MATHEMATICAL optimization, MATHEMATICAL models, DIAGNOSTIC services

A Survey on Human Emotion Recognition Approaches, Databases and Applications

Autoren: C.Vinola K.Vimaladevi

Quelle: ELCVIA: electronic letters on computer vision and image analysis; Vol. 14, Núm. 2 (2015); p. 24-44

Schlagwörter: Emotion recognition, Affective Computing, Artificial Intelligence, Human Computer Interaction, Computer vision, Pattern recognition, Image analysis and processing, Applications

Dateibeschreibung: application/pdf

Relation: https://www.raco.cat/index.php/ELCVIA/article/view/302865/392564

Zugangs-URL: https://www.raco.cat/index.php/ELCVIA/article/view/302865

Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review.

Autoren: Wang, Shaohua Xu, Dachuan Liang, Haojian et al.

Quelle: Remote Sensing; Feb2025, Vol. 17 Issue 4, p698, 30p

Schlagwörter: PATTERN recognition systems, CONVOLUTIONAL neural networks, MACHINE learning, IMAGE recognition (Computer vision), OBJECT recognition (Computer vision)

Recent Trends in Image Processing and Pattern Recognition

Autoren: KC Santosh Aaisha Makkar Myra Conway et al.

Resource Type: eBook.

Schlagworte: Image processing—Digital techniques, Computer vision, Artificial intelligence, Computer systems, Social sciences—Data processing, Application software

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Architecture, COMPUTERS / Image Processing, COMPUTERS / Hardware / General

Monitoring cow behavior based on lying, standing, eating, and ruminating recognition using YOLOv8.

Autoren: SAIFUDIN, Ali MADYAWATI, Sri Pantja YUADI, Imam et al.

Quelle: Turkish Journal of Veterinary & Animal Sciences. 2024, Vol. 48 Issue 5, p190-197. 8p.

Schlagworte: Animal welfare, Dietary patterns, Computer vision, Precision farming, Livestock farms

Urban expressway parallel pattern recognition based on intelligent IOT data processing for smart city

Autoren: Zhendong Liu Hongfei Jia Yanxia Wang

Quelle: Computer Communications. 155:40-47

Schlagwörter: 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0140366419318882
https://dblp.uni-trier.de/db/journals/comcom/comcom155.html#LiuJW20

U-Net-Based Approaches for Biometric Identification and Recognition in Cattle.

Autoren: CİHAN, Pınar SAYGILI, Ahmet AKYÜZLÜ, Muhammed et al.

Quelle: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. May/Jun2025, Vol. 31 Issue 3, p425-436. 12p.

Schlagworte: Biometric identification, System identification, Identification of animals, Animal welfare, Retinal imaging, Deep learning

Real-time pedestrian detection system realization using histograms of gradients (HOG)

Weitere Verfasser: Wang, Jianfeng (author.) Choy, Chiu Sing (thesis advisor.) Chinese University of Hong Kong Graduate School. Division of Electronic Engineering. (degree granting institution.)

Schlagwörter: Optical pattern recognition, Image processing--Digital techniques, Real-time data processing, TA1650 .W36 2020eb

Dateibeschreibung: electronic resource; remote; 1 online resource (xi, 60 leaves) : illustrations (some color); computer; online resource

Relation: cuhk:2627822; local: ETD920210220; local: 991040013861103407

Verfügbarkeit: https://julac.hosted.exlibrisgroup.com/primo-explore/search?query=addsrcrid,exact,991040013861103407,AND&tab=default_tab&search_scope=All&vid=CUHK&mode=advanced&lang=en_US
https://repository.lib.cuhk.edu.hk/en/item/cuhk-2627822

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization

Autoren: Dolezal, James M. Kochanny, Sara Dyer, Emma et al.

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), FOS: Biological sciences, Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, Quantitative Biology - Quantitative Methods, Quantitative Methods (q-bio.QM)

Zugangs-URL: http://arxiv.org/abs/2304.04142

Pattern Recognition

Autoren: Daniel Cremers Zorah Lähner Michael Moeller et al.

Resource Type: eBook.

Schlagworte: Image processing—Digital techniques, Computer vision, Artificial intelligence, Computer systems, Education—Data processing, Application software

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Architecture, COMPUTERS / Image Processing, COMPUTERS / Hardware / General, EDUCATION / Computers & Technology

Computer Vision, Pattern Recognition, Image Processing, and Graphics : 7th National Conference, NCVPRIPG 2019, Hubballi, India, December 22–24, 2019, Revised Selected Papers

Autoren: R. Venkatesh Babu Mahadeva Prasanna Vinay P. Namboodiri

Resource Type: eBook.

Schlagworte: Application software, Computer graphics, Pattern recognition systems--Congresses, Computer vision--Congresses, Image processing--Digital techniques--Congresses, Artificial intelligence, Optical data processing

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Image Processing, COMPUTERS / Networking / General