Suchergebnisse - Image Processing AND Computer Vision—Applications General Terms Algorithm

Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)

Autoren: Yanan Sun

Resource Type: eBook.

Categories: COMPUTERS / General

Plenoptic Imaging and Processing

Autoren: Lu Fang

Resource Type: eBook.

Schlagworte: Image processing

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Image Processing, TECHNOLOGY & ENGINEERING / Materials Science / General

Computer vision algorithms to help decision-making in cattle production.

Autoren: Guarnido-Lopez, P Pi, Y Tao, J et al.

Quelle: Animal Frontiers. Dec2024, Vol. 14 Issue 6, p11-22. 12p.

Integrating computer vision algorithms and RFID system for identification and tracking of group-housed animals: an example with pigs.

Autoren: Mora, Mónica Piles, Miriam David, Ingrid et al.

Quelle: Journal of Animal Science. 2024, Vol. 102, p1-12. 12p.

Schlagworte: Animal coloration, Identification of animals, Animal tracks, Computer vision, Swine housing, Radio frequency identification systems

Deep learning in nuclear medicine: from imaging to therapy.

Autoren: Zhang MX Liu PF Zhang MD et al.

Quelle: Annals of nuclear medicine [Ann Nucl Med] 2025 May; Vol. 39 (5), pp. 424-440. Date of Electronic Publication: 2025 Mar 13.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Springer Japan Country of Publication: Japan NLM ID: 8913398 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1864-6433 (Electronic) Linking ISSN: 09147187 NLM ISO Abbreviation: Ann Nucl Med Subsets: MEDLINE

MeSH-Schlagworte: Deep Learning* , Nuclear Medicine*/methods , Diagnostic Imaging*/methods, Humans ; Image Processing, Computer-Assisted/methods

A Novel Lightweight Dairy Cattle Body Condition Scoring Model for Edge Devices Based on Tail Features and Attention Mechanisms.

Autoren: Liu, Fan Zhang, Yongan Liu, Yanqiu et al.

Quelle: Veterinary Sciences. Sep2025, Vol. 12 Issue 9, p906. 25p.

Machine Learning Algorithms for Signal and Image Processing

Autoren: Deepika Ghai Suman Lata Tripathi Sobhit Saxena et al.

Resource Type: eBook.

Schlagworte: Signal processing--Digital techniques, Image processing--Digital techniques, Machine learning

Categories: TECHNOLOGY & ENGINEERING / Signals & Signal Processing, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing

A general framework for image feature matching without geometric constraints.

Autoren: Arnfred, Jonas Toft Winkler, Stefan

Quelle: Pattern Recognition Letters. Apr2016, Vol. 73, p26-32. 7p.

Schlagwörter: *IMAGE processing, *FEATURE extraction, *COMPUTER vision, *MATCHING theory, *PATTERN recognition systems, *ALGORITHMS

BranchLabelNet: Anatomical Human Airway Labeling Approach using a Dividing-and-Grouping Multi-Label Classification.

Autoren: Chau NK Ma TT Kim WJ et al.

Quelle: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Oct; Vol. 62 (10), pp. 3107-3122. Date of Electronic Publication: 2024 May 23.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

MeSH-Schlagworte: Tomography, X-Ray Computed*/methods , Algorithms*, Humans ; Deep Learning ; Image Processing, Computer-Assisted/methods ; Lung/diagnostic imaging ; Respiratory System/diagnostic imaging ; Respiratory System/anatomy & histology ; Reproducibility of Results

Computer vision model for the detection of canine pododermatitis and neoplasia of the paw.

Autoren: Smith, Andrew Carroll, Patrick W. Aravamuthan, Srikanth et al.

Quelle: Veterinary Dermatology. Apr2024, Vol. 35 Issue 2, p138-147. 10p.

Leveraging the potential of convolutional neural networks in poultry farming: a 5-year overview.

Autoren: Umurungi, Sandra Nicole Ufitikirezi, Jean de Dieu Marcel Zoubek, Tomáš et al.

Quelle: World's Poultry Science Journal. Mar2025, Vol. 81 Issue 1, p3-34. 32p.

Automating poultry farm management with artificial intelligence: Real-time detection and tracking of broiler chickens for enhanced and efficient health monitoring.

Autoren: Depuru, Bharani Kumar Putsala, Sreekanth Mishra, Pragya

Quelle: Tropical Animal Health & Production. Mar2024, Vol. 56 Issue 2, p1-11. 11p.

Multimedia Forensics

Autoren: Husrev Taha Sencar Luisa Verdoliva Nasir Memon

Resource Type: eBook.

Schlagworte: Multimedia systems, Digital forensic science, Image processing

Categories: COMPUTERS / Security / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Interactive & Multimedia, MATHEMATICS / Probability & Statistics / General

Theoretical Understanding of Convolutional Neural Network: Concepts, Architectures, Applications, Future Directions.

Autoren: Taye, Mohammad Mustafa

Quelle: Computation; Mar2023, Vol. 11 Issue 3, p52, 23p

Schlagwörter: CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision), OBJECT recognition (Computer vision), IMAGE processing, ARTIFICIAL intelligence, FACE perception

Computer Vision and Image Processing

Autoren: Harkeerat Kaur Vinit Jakhetiya Puneet Goyal et al.

Resource Type: eBook.

Schlagworte: Image processing—Digital techniques, Computer vision, Artificial intelligence, Computer networks, Education—Data processing, Social sciences—Data processing

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

Enhancing cattle production and management through convolutional neural networks. A review.

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

Quelle: Czech Journal of Animal Science. 2024, Vol. 69 Issue 3, p75-88. 14p.

Schlagworte: Convolutional neural networks, Animal welfare, Health of cattle, Precision farming, Animal products

Hidden-Concept Driven Image Decomposition Towards Semi-Supervised Multi-Label Image Annotation

Autoren: Bing-kun Bao Teng Li Shuicheng Yan et al.

Weitere Verfasser: Bing-kun Bao Teng Li Shuicheng Yan et al.

Quelle: http://www.lv-nus.org/papers/2009/2009_imcs_bkb.pdf.

Schlagwörter: Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval, Content Analysis and Indexing-indexing methods, I.4.9 [Computing Methodolo- gies, Image Processing and Computer Vision—Applications General Terms Algorithm, Performance, Experimentations Keywords Multi-label Image Annotation, Semi-supervised Learning, Hidden- concepts, Sparse Coding, Nonnegative Data Factorization

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.500.5350

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.500.5350
http://www.lv-nus.org/papers/2009/2009_imcs_bkb.pdf

DWMamba: a structure-aware adaptive state space network for image quality improvement.

Autoren: Fu, Wenjun Wang, Xiaobin Yang, Chuncai et al.

Quelle: Frontiers in Neurorobotics; 2025, p1-16, 16p

Schlagwörter: IMAGE quality analysis, DEEP learning, MATHEMATICAL optimization, COMPUTER vision, IMAGE processing

TurkerNeXtV2: An Innovative CNN Model for Knee Osteoarthritis Pressure Image Classification.

Autoren: Esmez, Omer Deniz, Gulnihal Bilek, Furkan et al.

Quelle: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 19, p2478, 37p

Schlagwörter: KNEE osteoarthritis, CONVOLUTIONAL neural networks, COMPUTATIONAL complexity, REAL-time computing, COMPUTER-assisted image analysis (Medicine), IMAGE processing, IMAGE recognition (Computer vision)

Enhanced three‐dimensional model reconstruction based on local ternary pattern‐guided fusion of multi‐exposure images.

Autoren: Chan, Kwok‐Leung Li, Liping Leung, Arthur Wing‐Tak et al.

Quelle: IET Image Processing (Wiley-Blackwell); Apr2023, Vol. 17 Issue 5, p1546-1563, 18p

Schlagwörter: IMAGE fusion, COMPUTER vision, IMAGE processing, IMAGE intensifiers, DETERMINISTIC algorithms, DEEP learning, THREE-dimensional modeling