Search Results - Image Processing and Computer Vision—Applications Keywords

VitralColor-12: A Synthetic Twelve-Color Segmentation Dataset from GPT-Generated Stained-Glass Images.

Authors: Montes Rivera, Martín Guerrero-Mendez, Carlos Lopez-Betancur, Daniela et al.

Source: Data (2306-5729); Oct2025, Vol. 10 Issue 10, p165, 20p

Subject Terms: IMAGE processing, COMPUTER vision, IMAGE recognition (Computer vision), GLASS painting & staining, GENERATIVE artificial intelligence, ANALYSIS of colors

Deploying deep learning networks based advanced techniques for image processing on FPGA platform.

Authors: Ghodhbani, Refka Saidani, Taoufik Zayeni, Hafedh

Source: Neural Computing & Applications; Sep2023, Vol. 35 Issue 26, p18949-18969, 21p

Subject Terms: DEEP learning, IMAGE processing, COMPUTER vision, CONVOLUTIONAL neural networks

Computer Vision and Image Processing

Authors: Harkeerat Kaur Vinit Jakhetiya Puneet Goyal et al.

Resource Type: eBook.

Subjects: 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

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

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

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

An enhanced classification system of various rice plant diseases based on multi-level handcrafted feature extraction technique.

Authors: Alsakar, Yasmin M. Sakr, Nehal A. Elmogy, Mohammed

Source: Scientific Reports; 12/23/2024, Vol. 14 Issue 1, p1-33, 33p

Subject Terms: RICE diseases & pests, IMAGE recognition (Computer vision), COMPUTER vision, FEATURE extraction, ARTIFICIAL intelligence

novel automated system to acquire biometric and morphological measurements and predict body weight of pigs via 3D computer vision 1.

Authors: Fernandes, Arthur F A Dórea, João R R Fitzgerald, Robert et al.

Source: Journal of Animal Science. Jan2019, Vol. 97 Issue 1, p496-508. 13p.

Subjects: Computer vision, Body weight, Swine, Day care centers, Shape measurement, Computer systems, Application software

Computer Vision and Image Processing

Authors: Jagadeesh Kakarla R. Balasubramanian Subrahmanyam Murala et al.

Resource Type: eBook.

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision.

Authors: Wang, Jin Hu, Yu Xiang, Lirong et al.

Source: Journal of Animal Science. 2024, Vol. 102, p1-6. 6p.

Subjects: Science education, Object recognition (Computer vision), Three-dimensional imaging, Machine learning, Animal communities, Deep learning, Computer vision

PCB Component Detection Using Computer Vision for Hardware Assurance.

Authors: Zhao, Wenwei Gurudu, Suprith Reddy Taheri, Shayan et al.

Source: Big Data & Cognitive Computing; Jun2022, Vol. 6 Issue 2, p39-39, 24p

Subject Terms: PRINTED circuit design, COMPUTERS, COMPUTER vision, AUTOMATIC optical inspection, IMAGE processing, MACHINE learning, PRINTED circuits

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

Authors: Taye, Mohammad Mustafa

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

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

Exploring alternatives for securing anatomical structures in capturing digital images: A comparative analysis.

Authors: Turchenski, Daniela G. Franco, Acir J. Turchenski, Rafael G. et al.

Source: Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C. Jan2024, Vol. 53 Issue 1, p1-9. 9p.

Subjects: Veterinary anatomy, Image analysis, Digital images, Bone marrow, Saline solutions, Comparative studies

THRESHOLDING TECHNIQUES IN COMPUTER VISION APPLICATIONS.

Authors: M., SABIBULLAH M., RIYAZ MOHAMMED

Source: i-Manager's Journal on Image Processing; Jun2024, Vol. 11 Issue 2, p27-34, 8p

Subject Terms: COMPUTER vision, IMAGE segmentation, IMAGE recognition (Computer vision), BINARY codes, THRESHOLDING algorithms

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Comparative Study of Decoders for Liver and Tumor Segmentation Using a Self-ONN-Based Cascaded Framework.

Authors: Gul, Sidra Khan, Muhammad Salman Hossain, Md Sakib Abrar et al.

Source: Diagnostics (2075-4418); Dec2024, Vol. 14 Issue 23, p2761, 20p

Subject Terms: CONVOLUTIONAL neural networks, COMPUTER-aided diagnosis, LIVER tumors, IMAGE processing, COMPUTER-assisted image analysis (Medicine)

A novel density‐based representation for point cloud and its ability to facilitate classification.

Authors: Xie, Xianlin Tang, Xue‐song

Source: IET Image Processing (Wiley-Blackwell); 10/16/2024, Vol. 18 Issue 12, p3496-3506, 11p

Subject Terms: IMAGE recognition (Computer vision), FEATURE extraction, IMAGE processing, POINT cloud, POINT processes

FRUIT RECOGNITION USING IMAGE PROCESSING.

Authors: SAHU, PRATIBHA DEWANGAN, ABHISHEK MANDAL, SNEHLATA

Source: i-Manager's Journal on Image Processing; Jul-Sep2022, Vol. 9 Issue 3, p10-16, 7p

Subject Terms: IMAGE processing, IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, FRUIT, LABOR costs