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The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop

Hirra Anwar, Saad Ullah Khan, Muhammad Mohsin Ghaffar, Muhammad Fayyaz et al. • Sensors (2023)

Wheat stripe rust disease (WRD) is extremely detrimental to wheat crop health, and it severely affects the crop yield, increasing the risk of food insecurity. Manual inspection by trained personnel is carried out to inspect the disease spre...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23156942

TSER: A Two-Stage Character Segmentation Network With Two-Stream Attention and Edge Refinement

Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong et al. • IEEE Access (2020)

Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separatin...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3036545

PAMPAS: real-valued graphical models for computer vision

Michael Isard • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2003)

Probabilistic models have been adopted for many computer vision applications, however inference in high-dimensional spaces remains problematic. As the state-space of a model grows, the dependencies between the dimensions lead to an exponent...

OPENALEX DOI: https://doi.org/10.1109/cvpr.2003.1211410

Computer Vision in Healthcare Applications

Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering (2018)

The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...

OPENALEX cc-by DOI: https://doi.org/10.1155/2018/5157020 PMC: 5857319

Adversarial Attack on Object Detection via Object Feature-Wise Attention and Perturbation Extraction

Wei Xue, Xiaoyan Xia, Pengcheng Wan, Ping Zhong et al. • Tsinghua Science and Technology (2025)

Deep neural networks are commonly used in computer vision tasks, but they are vulnerable to adversarial samples, resulting in poor recognition accuracy. Although traditional algorithms that craft adversarial samples have been effective in a...

DOAJ Open Access (DOAJ) DOI: 10.26599/TST.2024.9010029

A survey of public datasets for computer vision tasks in precision agriculture

Yuzhen Lu, Sierra N. Young • Computers and Electronics in Agriculture (2020)

Computer vision technologies have attracted significant interest in precision agriculture in recent years. At the core of robotics and artificial intelligence, computer vision enables various tasks from planting to harvesting in the crop pr...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.compag.2020.105760

Artifact segmentation using the U-Net architecture for powder X-ray diffraction images

Albert Vong, Howard Yanxon, Eric Roberts, Hannah Parraga et al. • Journal of Synchrotron Radiation (2026)

Modern synchrotron X-ray facilities generate X-ray diffraction (XRD) image data at rates that far exceed the capacity of manual analysis, yet critical processing steps such as artifact removal rely on human intervention. Rule-based algorith...

DOAJ Open Access (DOAJ) DOI: 10.1107/S160057752600754X

A Self-Adaptive Traffic Signal System Integrating Real-Time Vehicle Detection and License Plate Recognition for Enhanced Traffic Management

Manar Ashkanani, Alanoud AlAjmi, Aeshah Alhayyan, Zahraa Esmael et al. • Inventions (2025)

Traffic management systems play a crucial role in smart cities, especially because increasing urban populations lead to higher traffic volumes on roads. This results in increased congestion at intersections, causing delays and traffic viola...

DOAJ Open Access (DOAJ) DOI: 10.3390/inventions10010014

Computer vision for computer games

William T. Freeman, Kazuhiro Tanaka, Jun Ohta, Kazuo Kyuma • International Conference on Automatic Face and Gesture Recognition (2002)

The appeal of computer games may be enhanced by vision-based user inputs. The high speed and low cost requirements for near-term, mass-market game applications make system design challenging. The response time of the vision interface should...

OPENALEX DOI: https://doi.org/10.1109/afgr.1996.557250

Fruits and vegetables quality evaluation using computer vision: A review

Anuja Bhargava, Atul Bansal • Journal of King Saud University - Computer and Information Sciences (2018)

In agriculture science, automation increases the quality, economic growth and productivity of the country. The export market and quality evaluation are affected by assorting of fruits and vegetables. The crucial sensory characteristic of fr...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jksuci.2018.06.002

The application of deep learning in computer vision

Qing Wu, Yungang Liu, Qiang Li, Shaoli Jin et al. • Chinese Automation Congress (2017)

As the deep learning exhibits strong advantages in the feature extraction, it has been widely used in the field of computer vision and among others, and gradually replaced traditional machine learning algorithms. This paper first reviews th...

OPENALEX DOI: https://doi.org/10.1109/cac.2017.8243952

Introductory Techniques for 3-D Computer Vision

Emanuele Trucco, Alessandro Verri • CINECA IRIS Institutial Research Information System (University of Genoa) (1998)

From the Publisher: FEATURES: Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision. Contains many practical hints highlighted in the book. Develops two parallel ...

OPENALEX

Computer Vision Techniques in Manufacturing

Longfei Zhou, Zhang Li, Nicholas Konz • IEEE Transactions on Systems Man and Cybernetics Systems (2022)

Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comp...

OPENALEX Open Access DOI: https://doi.org/10.1109/tsmc.2022.3166397